Thursday, November 28, 2019

Truth The Only Truth Existing [This Is My Second And Last Essay Of Phi

Truth The Only Truth Existing [This is my second and last essay of Philosophy 201]-RJ The Only Truth Existing "We are, then, faced with a quite simple alternative: Either we deny that there is here anything that can be called truth - a choice that would make us deny what we experience most profoundly as our own being; or we must look beyond the realm of our "natural" experience for a validation of our certainty." A famous philosopher, Rene Descartes, once stated, "I am, [therefore] I exist." This statement holds the only truth found for certain in our "natural" experience that, as conscious beings, we exist. Whether we are our own creators, a creation, or the object of evolution, just as long as we believe that we think, we are proved to exist. Thinking about our thoughts is an automatic validation of our self-consciousness. Descartes claims, "But certainly I should exist, if I were to persuade my self of something." And so, I should conclude that our existence is a truth, and may b e the only truth, that we should find its certainty. From the "natural" experiences of our being, we hold beliefs that we find are our personal truths. From these experiences, we have learned to understand life with reason and logic; we have established our idea of reality; and we believe that true perceptions are what we sense and see. But it is our sense of reason and logic, our idea of reality, and our perceptions, that may likely to be very wrong. Subjectiveness, or personal belief, is almost always, liable for self-contradiction. Besides the established truth that we exist, there are no other truths that are certain, for the fact that subjective truth may be easily refuted. Every person possesses his or her own truth that may be contradicting to another person's belief. A truth, or one that is true for all, cannot by achieved because of the constant motion of circumstances of who said it, to whom, when, where, why, and how it was said. What one person may believe a dog is a m an's best friend, another may believe that a dogs is a man's worse enemy. What one may believe is a pencil, to another is not a pencil, but a hair pin. Where one may believe that a bottle is an instrument, one may believe is a toy, where another may believe is a beverage container. Where one will understand the moving vehicle "car," one might understand "car" as a tree. Our perception of what is true depends on our own experiences, and how something becomes true for us. Many circumstances are necessary to derive at one's truth, whether it is an idea, object, or language. All perception, besides the perception of existence, is uncertain of being true for all individuals. Every thought, besides the idea that we think, has the possibility that it may be proven wrong. The author of the article, Knowledge Regained, Norman Malcolm, states that, "any empirical proposition whatever could be refuted by future experience - that is, it could turn out to be false." An example could be the e arly idea of the earth being flat and not the current perception of the earth being round. History tells us that at one time, the perception of the earth was thought to be flat. This notion was an established truth to many because of the sight and sense that people perceived about the earth's crust. At one point, to accept the newer truth that the earth is round, meant that, what one believed was true, really wasn't. And, what if, at some point in the future, we were told by a better educated group of observers that the earth is not round, but a new shape we've never even perceived before? Would we agree to the scientists' observation that they have, themselves, agreed to this more accurate shape of the earth?. We would probably agree to change our knowledge of truth to the observations of experts. This is an example that, what we may have once believed to be the absolute truth, may be proven wrong at any time. And what we actually know, may not be the truth after

Monday, November 25, 2019

Women Can Be Murderers Too Professor Ramos Blog

Women Can Be Murderers Too Gliezel Fernando English 102 August 3, 2019 Murderers Can Be Women Too Aileen’s full name is Aileen Carol Wuornos, originally Aileen Pittman, was born on February 29, 1956 un Rochester, Michigan. Aileen later died on October 9,2002 at Starke, Florida. Aileen’s upbringing was not the best. She was later executed by lethal injection sooner than her actual execution date because she was not connected to reality. Her famous last words were â€Å"Id just like to say Im sailing with the rock, and Ill be back like Independence Day with Jesus June 6. Like the movie, big mother ship and all.† She was abandoned by her mother at a young age, she lost her grandmother and her father. She later became a serial killer with at least murdering seven people between 1989-1990. Her case drew national attention to issues such as the relationship between gender and violence and the legal treatment of acts of self-defense by women (Jenkins). Aileen’s reasoning of killing might be due to her troubled childhood and how she was treated by males. Aileen Wuornos is the most terrifying female serial killer in all history. Aileen Wuornos had a rough childhood, her father was a sex offender who hung himself while he was in prison when she was just thirteen years old, and her mother already abandoned her. Her mother left her with her paternal grandparents. Not even a year passed after her father passed, her grandmother died from liver failure, and that is when the physical and sexual abuse started from her grandfather. When Aileen was fifteen years old, she had to drop out of school because she had to give birth to her grandfather’s baby at a home for unwed mothers. After having the baby, she and her grandfather had a fight and she was left with her child to live in the woods outside Troy, Michigan. After putting her son up for adoption, that is when her prostitution and thieving began. When Aileen moved to Florida, she met a wealthy yachtsman, Lewis Fell, they married in 1976, but later divorced because of Aileen’s destructive behavior. After becoming involved with numerous crimes, Wuornos met twenty-four-year-old Tyria Moore in Daytona, Florida, and they began a romantic relationship. Tyria and Aileen met at a biker bar named Zodiac in June 1986. Tyria was never involved in the crimes that Aileen committed, but she knew that Aileen killed more than one man in their relationship, because Aileen would come home with a different car and belongings that were not hers. Ty and Aileen lived in cheap motels and trailers, they even lived in the woods. Ty did not like that Aileen was working as a highway prostitute, she tried her best to keep Aileen from doing that line of work, but she never gave up. Though Tyria tried not to get involved, a witness saw her and Aileen in a car accident where they found Aileen’s bloody handprint on the car. The handprint match ed to a thumbprint on Daytona pawn shop card that they used for items that belonged to her first victim, Richard Mallory. Wuronos’ victims were all middle-aged white men who were motorist. Aileen murdered seven men and left their bodies on the highway to be discovered by the authorities. She would later tell the police that she killed them in an act of self-defense. Aileen would rob all her victims before she shot them and then stole their cars as well. Her very first victim was Richard Mallory, a fifty-one-year-old shop owner who picked her up for sexual intercourse for pay. Richard Mallory was a convicted sex offender. He was later found by a Volusia County deputy several miles from his abandoned car with multiple shots in the chest. David Spears, her second victim was a forty-three-year-old construction worker who was shot six times in the torso. Charles Cardskaddon, forty, was found in Pasco County with nine shots in the stomach and chest. Troy Burress, fifty-year-old salesmen, was found when he was almost decomposed, and a medical examiner determine that the cause of his death was two shots to the torso. Charles â€Å"Dick† Humphreys was a retire Air Force major, police chief and a Florida child-abuse investigator was found dead with multiple gunshots to his head and torso. Peter Siems was a sixty-five year old whose body was never recovered, but witnesses say two women near his car, but it was never confirmed if she actually murdered Peter Siems. Her last victim, Walter Antonio, his body was found nearly nude at a remote part of Dixie County. Antonio was shot four times in the back and in his head. Her upbringing might be the reason why she started murdering men. Aileen Wuornos reason for killing might be to due to the face she was not raised properly. She and her brother, Keith, were abandoned by her mother, Diane. Diane left her two kids with her parents, their grandma and grandpa. Unfortunately, their grandmother passed away from liver failure. She and her brother were left with their grandfather, who was horribly abusive with Aileen (Lukas). All the abuse and neglect were just part of the start of her rampage. After meeting Richard Mallory, the convicted sex offender, was probably the last straw that began her killing rampage. The story of Aileen Wuornos has impacted several movie inspirations. Aileen made her own autobiography. Monster theory 2: The Monster Always Escapes fits because of the documentaries that people made of her. Especially when her famous last words were â€Å"Id just like to say Im sailing with the rock, and Ill be back like Independence Day with Jesus June 6.† She believed that she will be incarnated and come back for more which is terrifying. Her story was also made into a British documentary, down to every little detail. Nick Broomfield created two documentaries, Aileen Wuornos: The Selling of a Serial Killer (1993) and Aileen: Life and Death of a Serial Killer (2003). One of the famous movies that was inspired by Aileen’s life was the 2003 film â€Å"Monster†. Although it does not fully tell the whole story, because Tyria wanted to keep her identity hidden, it still tells us about Aileen’s life as a prostitute becoming a murderer. Work Cited Lu, Alicia. â€Å"Aileen Wuornos Was Terrifying, But Fascinating.† Bustle, Bustle, 12 June 2019, bustle.com/articles/126181-8-surprising-facts-about-notorious-serial-killer-aileen-wuornos-that-will-haunt-your-dreams. Stockton, Richard. â€Å"How Aileen Wuornos Became Historys Most Terrifying Female Serial Killer.† All Thats Interesting, All Thats Interesting, 15 Mar. 2019, allthatsinteresting.com/aileen-wuornos â€Å"The Case of Aileen Wuornos The Facts: Capital Punishment in Context.† The Case of Aileen Wuornos The Facts | Capital Punishment in Context, capitalpunishmentincontext.org/cases/wuornos.

Thursday, November 21, 2019

Philosophy of Plato and American Culture Research Paper

Philosophy of Plato and American Culture - Research Paper Example There are so many diverse cultures all around the globe which are based on some philosophies which can still be observed in the 21st century. Plato was one of the philosophers whose philosophy is eminent in the Western culture and it can be said that today’s American culture emanates the philosophy of Plato in a number of ways. According to Alfred North Whitehead, the safest generalization of the different characteristics of the Western culture is that it is based on the philosophy of Plato. The philosophy has not been adopted in a systematic way but it can be easily seen that the scattered ideas of Plato have been included in the culture (Lachs & Talisse, 2008). Platonism had already developed for a period of two millennia after Plato’s death after it had any influence on the American philosophy. There are a number of ideas found in the works of Plato that have played significant role in the development of American philosophy. The main three ideas that have influenced the American philosophy the most are; the importance of formal understanding of mathematics; the conception of nature as in process and the conviction that because of the roles of form in natural processes, value is a part of nature. Following is the comprehensive analysis of the influences that the philosophy of Plato has on the American educational structure and society in general. Plato’s Philosophy and American Education System American culture is influenced by Plato philosophy in some way or the other. There are a number of ways in which American culture intersects with Plato’s philosophy. One of the main examples is the system of State and education. Plato founded the basic concepts for a number of subjects which have been developed over time and they are taught in the educational institutes of America. Dialogues of Plato have been used in a wide range of subjects which include; mathematics, ethics, philosophy and logic. There are a number of ways in which people come across the philosophy of Plato, sometimes without even realizing it. Plato’s philosophy is considered to be the foundation for the democratic philosophies of education as he proposed a whole system of education. Plato always encouraged education in his philosophy and his teachings can still be observed in American culture. According to Plato; children with talent should be selected by the State from all the social classes regardless of the social position of the children. Plato considered children as the assets of the State and he suggested that the State should educate the children in order to make them eligible for the right kind of service to the State. Children should be educated in such a manner that they become fully trained for the kind of service they are to perform in the future. Plato suggested that the educated children may serve in; military services, city management and dialectic. The State should take the responsibility of the education of such talented ch ildren. According to Plato, the children should go through a comprehensive educational training which begins with gymnastics, music, and mathematics. Plato gave significant importance to the concept of mathematics and this philosophy of Plato has influenced American culture in a number of ways. The development of scientific methods in America

Wednesday, November 20, 2019

Editing Strategies Assignment Example | Topics and Well Written Essays - 500 words

Editing Strategies - Assignment Example It might be helpful to highlight the transition words and phrases as well to see if the right structures are used to introduce new ideas. Another key point to consider in the essay is its style and form. At this point, the best technique is to read the paper aloud. Reading aloud can help the author to notice the words or phrases that do not fit the context of the paper. As a rule, such vocabulary units include bookish or formal words, colloquialisms, terms used without sufficient explanation. Having pinpointed those words, the writer should consult the dictionary or thesaurus to find a suitable synonym or explain the terms used in the paper. What is more, highlighting or underlining key words in every paragraph can help avoid redundancy and wordiness. Finally, the paper should be checked for spelling, punctuation and grammar errors. Then, it is useful to read a paper again aloud slowly, making logical stress on the topic words and sentences, and then quickly. Reading aloud quickly ca n emulate the readers’ perception. Sometimes the structure of the sentences used by the writer is very complicated and the readers would have to go back to particular areas of the text to get the idea. If the writer finds it hard to find the ideas that should be stressed in the sentences or paragraphs while reading aloud quickly, it means that such sentences would be confusing for the readers. In this case, it is better to opt for restructuring the complex sentences. At the end of this stage, the essay can be submitted.

Monday, November 18, 2019

Cognitive Behavioural Therapy Essay Example | Topics and Well Written Essays - 2500 words - 1

Cognitive Behavioural Therapy - Essay Example One of the solutions that have been applied to facilitate the provision of solutions to the identified mental challenges is Cognitive Behavioral Therapy. This is psychotherapy approach that focuses on solving dysfunctional mental, emotional, maladaptive characters as well as inappropriate mental challenges through processes that entail. The examination between these cognitive facets based on goals. The essence of systematic review of the relationship between mental processes is pertinent for providing effective solutions for identified mental challenges. The process of developing Cognitive Behavioral Therapy was achieved through a process that involved behavioral integration. Behavioral Integration was a process that focused on modification of individual’s cognitive behavior, however due to its inefficiency, this method was later integrated with techniques that facilitated review the relationship between cognitive behaviors, thus the development of Cognitive Behavioral Therapy. There are various benefits that students aspiring to focus on solving mental challenges can access by applying Cognitive Behavioral Therapy as one of the methods. To begin with, research has shown that the application of Cognitive Behavioral Therapy is pertinent for provision of mental health treatment owing to the fact that it has been proved to be efficient in solving a series of different mental health challenges through application of certain procedures and processes. In addition, this technique is important to students, with an interest to solve cognitive and emotional challenges facing the society owing to the fact that it creates a platform for students to interact with their patients, thus increasing their understanding of various issues ascribed to cognitive challenges. The interaction is usually facilitated by certain experiments that the students may engage in as they undertake their psychotherapy activities. One of the Cognitive Behavioral Strategies that my

Friday, November 15, 2019

Data Stream Classification Of Red And White Wines Marketing Essay

Data Stream Classification Of Red And White Wines Marketing Essay Introduction Well we got 2 data sets to analysis using SPSS PASW 1) Wine Quality Data Set and 2) The Poker Hand Data Set. We can do this using CRISP methodology. Let us look what is CRISP by wikipedia CRISP-DM stands for Cross Industry Standard Process for Data Mining It is a data mining process model that describes commonly used approaches that expert data miners use to tackle problems. PASW Modeler is a data mining workbench that enables you to quickly develop predictive models using business expertise and deploy them into business operations to improve decision making. Designed around the industry-standard CRISP-DM model, IBM SPSS PASW Modeler supports the entire data mining process, from data to better business results. CRISP DM, Clementines own lightweight methodology of 5 stages Business Understanding, Data Understanding, Data Preparation Modelling, Evaluation and Deployment. CRISP Methodology Business Understanding: Understanding the project requirements objectives from a business perspective, and then converting this knowledge into a data mining problem definition Data understanding In this step following activities are going on, Data understanding, Collecting Initial Data then describing Data, Exploring Data and lastly verifying Data Quality The data preparation phase Tasks include table, record, and attribute selection as well as transformation and cleaning of data for modeling tools.Cleaning Data using appropriate cleaning and cleansing strategies then Integrating Data into a single point. Modeling: Selection and application of various modeling techniques done in this phase, and their parameters are adjusted to optimal values. Basically, there are more than one technique for the same data mining problem type. Some techniques have specific requirements on the form of data. Therefore, stepping back to the data preparation phase is often needed. Steps consist of Generating a Test Design, Building the Models assessing the Model Evaluation Building of model (or models) takes place in this phase. Before proceeding to final deployment of the model, it is important to more thoroughly evaluate the model, and review the steps executed to construct the model. Deployment In the final stage Knowledge gained is organized presented so that an end user can easily use it. As per the requirements this can be a report or a complex data mining process. Normally Customers carry out the deployment step Wine quality data set Wine quality is modeled under classification and regression approaches, which preserves the order of the grades. Explanatory knowledge is given in terms of a sensitivity analysis, which measures the response changes when a given input variable is varied through its domain The red wine data set contains 1600 samples out of which I have selected 200 random samples and doing the analysis(Data mining cannot discover patterns that may be present in the larger body of data if those patterns are not present in the sample being mined ) .So I selected the data set bearing in mind. The data set I have selected has high confidence. With measurements of 13 chemical constituents (e.g. alcohol, Mg) and the goal is to find the quality of red and white wine. Input variables 1 fixed acidity 2 volatile acidity 3 citric acid 4 residual sugar 5 chlorides 6 free sulphur dioxide 7 total sulfur dioxide 8 density 9 pH 10 sulphates 11 alcohol Output variable is quality (score between 0 and 10) CRISP methodology has been followed through out the phase .By checking the web site and resources learned about the wine domain .the next step was to check whether incorrect, missing or abnormal values in the data set end ensure the data quality. Data quality of the data set is very good. PASW Data stream classification of red and white wines Classification for Red and White wine 2 data sets red wine and white wine have been imported using variable file nodes Use of type node here is to describe the characteristics of data. . The Classification and Regression (CR) Tree node is a tree-based classification and prediction method. Similar to C5.0, this method uses recursive partitioning to split the training records into segments with similar output field values. The CR Tree node starts by examining the input fields to find the best split, measured by the reduction in an impurity index that results from the split. The split defines two subgroups, each of which is subsequently split into two more subgroups, and so on, until one of the stopping criteria is triggered. All splits are binary (only two subgroups) Red Wines variable importance White wine variable importance From variable importance diagram we can say that important attribute to determine Red wine quality is pH. The variable importance is in the order pH, citric acid, chloride as shown in the figure1. But for determining White wines quality the most contributing attribute is chloride and 2nd attribute is Alcohol. Decision Tree Model of white wine (only a portion) Analysis and conclusion The above generated tree consists of nodes and its children. The top node represent the total number of wine samples and how many number belongs to different categories(1 to 9).The first split is on chloride. This implies that most of the wine belongs to chloride level0.041.We see that good quality wine has chloride level It has been found from count Vs Quality graph that how many belongs to good quality categories. Alcoholic concentration of white wine samples is more than that of red wine sample. Good wines normally have high concentration. So we can conclude that White wine samples are good. In the white wine chloride level is normally high that implies it has got good Aroma. Where as in red wine the citric level is between particular levels that shows the red wine is very tasty!! PASW has got a number of 2-D and 3-D charts like bar, pie, histogram, scatter etc for time being I am using linear graph and 3-d scatter graph. You can use any of the graph as per the requirements. Some graphs are easy to interpret .Let us consider a 2-D graph between most contributing variable pH and quality from the graph it is clear that the relation ship between pH and quality is in such a way that if pH is in between 3.23 and 3.27 quality is good. Quality is very low for 3.38 and 3.50.We can plot similar graph between quality and citric acid or towards what ever contributing variable then find out the relation ship between them 2-D graph represent the relation ship between quality and pH of Red wine Let us plot a graph between chloride and Quality for the white wine. In the below figure it shows the quality is very good when chloride level below 0.036.And quality in the range 5 to 6 when chloride level is above .048. Like this if plot a graph between quality and alcohol we will see the quality is too good if alcoholic concentration in between 12.5 and 13(as per the sample I have analyzed) 3D graph which shows the relation ship between alcohol, quality and chloride level of white wine from the 2d analysis it was shown how the quality is being affected by single variable. If the one variable does not tell about how quality being related we can check relation ship between 3 variables using a 3d graph. It is having 3 axes. How Regression is useful In this multiple regression ,Predictors such as (Constant), alcohol, fixed acidity, residual sugar, chlorides, volatile acidity, free sulfur dioxide, sulphates, pH, total sulfur dioxide, citric acid, density determine the value of quality. Below gave a Pasw stream for regression. As per the variable importance graph volatile acidity, total SO2 and alcohol are most important variables in Regression analysis. Model R R Square Adjusted R Square Std. Error of the Estimate 1 .792(a) .626 .474 .542 Each by changing the independent variables value we can get value of dependent variable quality. With the help of a hypothesis we need to understand and build a relation ship among the variables. To predict the mean quality value for a given independent variable (say volatile acidity) we need a line which passes between the mean value of both quality and volatile acidity and which minimize the sum of distance between each of the points and predictive line. This fits into a line. The Poker Hand Data Set Each record is an example of a hand consisting of five playing cards drawn from a standard deck of 52. Each card is described using two attributes (suit and rank), for a total of 10 predictive attributes. There is one Class attribute that describes the Poker Hand. The order of cards is important and there are 480 possible Royal Flush hands. Below discussing about how to determine poker hands using data mining. I am considering classification only. If we consider clustering/Regression it does not make any sense PASW MODEL CLASSIFICATION USING CRT ALGORITHAM We got training and testing data set .First applying a model on training data set. Source file is a Comma separated file (CSV) with 1 million rows. It is difficult to do analyse on this input data set so selected sample data set and doing the analysis. Problem faced The given source data was not in a meaning full format so I have given meaningful attribute name and Values by using Vlookup function in MS excel, now the data has become more meaning full and it looks like below. Data cleansing is very important and comes under data preparation phase of the methodology Accuracy of predictive model The accuracy of predictive model is checked by analysis node. It has been found that accuracy is 90%. Using the Algorithm need to predict any of these: 0: Nothing in hand; 1: One pair;2: Two pairs;3: Three of a kind;4: Straight;5: Flush; 6: Full house;7: Four of a kind;8: Straight flush;9: Royal flush; Pocker hands variable importance diagram Let me say what did I understood from the diagram. Rank2 (rank of card2) is most contributing variable to predict poker hands. It is clear that Rank of 1st, 4th and 2nd cards are more contributing than suit of those cards. The different section of pie chart represents number of cards in a particular poker category. Blue represents No Poker; Red represents ONE PAIR, Green represent Royal flesh How Pasw helps to do classification Pasw has got number tree constructing algorithms(CR, c5.0) to do classification. I considered Classification and Regression (CR) though this is not a time efficient algorithm time complexity is more when compared to c5.0)I selected CR.The data set I have got is simple one and I am not considering the deep analysis all I need to do is to predict poker hands so CR can do it. Below shows the constructed tree using CR (Ashort description of tree already given above) Analysis Data has been classified into Training set and Testing set .Here most of the data set into a training set and small portion of data is used for testing.After a model has been processed by using the Training set, we can test the model by making predictions against the Test set. Since the data in the training set already contains known values for the attribute that you want to predict. Below giving the portion of training set being used. Integrating classification and association rule mining can produce more efficient and accurate classifiers.Here each row is an instance Trial: pair of 5 attributes (SUIT and RANK) + classification class. So this can be used to predict the classification of other unclassified instances. consider the training set given below suit1 rank1 suit2 rank2 suit3 rank3 suit4 rank4 suit5 Rank5 poker Heart ASS heart KING spades 4 Spades 3 heart QUEEN Nothing in hand Diamonds QUEEN diamonds 2 diamonds JACK Clubs 5 spades 5 ONE PAIR Hearts 10 hearts jack hearts king Hearts queen hearts 1 royal flesh Spades Jack spades king spades 10 Spades queen spades 1 royal flesh Diamond queen diamond jack diamond king diamond 10 diamond 1 royal flesh Hearts 5 diamond king spades king spades 7 clubs 5 two pairs Hearts 4 hearts 1 hearts 3 diamond 5 diamond 2 straight Suppose want to predict below hand is what type of Poker hand? suit1 rank1 suit2 rank2 suit3 rank3 suit4 rank4 suit5 rank5 poker Club 10 club jack club A club king club queen From the training set data the testing set is predicted, answer is Royal Flesh Conclusion Two data sets the wine and poker have been analysed using CRISP methodology and using the tool IBM SPSS PASW, used different modelling techniques which suits. Analysed the knowledge elicited by each model DATA MINING KNOWLEDGE DISCOVERY IN MARKETING (PART 2) Abstract Now-a-days Using the high power computing and information technology enables to collect store and process complex Marketing data. Data mining is used to extract knowledge from this marketing data. This report discuss about Data mining process, short discussion about different mining techniques such as classification tree, neural network, Regression and their application in marketing domain. My report Also cover different type of analyzes and tasks being used Introduction From the given topics I have selected the topic Data mining and Knowledge discovery for marketing since my cup of tea is Business and computing. I would always like to do research in Business analytics .Well let us look at what is data mining Data mining is the process of discovery of interesting, meaningful and actionable patterns hidden in large amounts of data . This is one of the tools to transform data into information. It is widely used in almost all fields of science and business profiling practice such as marketing, fraud detection, and scientific discovery. The technique to uncover pattern on data can also apply on sample data .so the sample data should be so the sample should be a good representative of larger data set. data mining can not find out the pattern which may be present in larger body of data and not contains in the small sub set of data. So this is very useful when sufficiently represented data are collected Most well known branches of data mining is knowledge discovery or KDD It derives knowledge from input data .This knowledge which have got from the process will become additional data and can be used for further discovery in related field normally an analyst can analysis and predict it.DM can generate thousands of pattern but all these patterns are not interested and useful. In this I am considering Data mining in a marketing field prospective. The data coming from different sources like transactions, loyalty cards, and discount coupons; customer complaint calls public life style studies using this data we can make Target marketing like to identify appropriate customer segments for new marketing initiatives determine customer purchasing pattern over time associations/co-relations between product sales, predict based on such association I mean cross market analysis what type of customer buys what type of product that is customer profiling Predict likelihood of customer churn and target those likely to leave with retention campaigns Customer requirement analysis like Identify the best products for different groups of customers and Predict what factors will attract new customers Provision of summary information such as Multidimensional summary reports and Statistical summary information (data central tendency and variation) Another question is why can not we go for a traditional data analysis instead of data mining? Answer is the field like marketing has tremendous Amount of data and it has multi dimension and complexity.A Marketing firm would likely to segment their customers into similar groups or clusters in order to better understand consumer behavior and more effectively market their products. In the past for a small business initiatives did not have trouble to understand their customers. They knew what they have to do once a customer approach them .Todays business is more competitive, more customer oriented, more products oriented so it is very difficult to understand the customer behavior, wants, needs the hidden relation ship between the data and preferences. With the help of data mining an analyst can deliver timely, personalized promotional offers. 1 Knowledge Discovery (KDD) Process S2 S1 S3 Data Cleaning Data Integration Databases Data Warehouse Knowledge Task-relevant Data Selection Data Mining Pattern Evaluation Normally in the huge DWH data mining environment data coming from various sources integrated and put it in data warehousing. Various data mining soft wares like teradata intelligent miners are used to mine Tera bytes of data and find market prediction. As I mentioned the DM is a Tools for developing predictive and descriptive models. Some are statistical method such as regression. Other use non statistical method like neural networks, classification trees. Here I considered some important tools then their How Classification trees are being used in marketing data mining Classification tree partition the data to maximize the difference in the dependent variable. it is also called a decision tree. Aim of classification tree is to classify the data into distinct groups or branches that create the strongest separation in the values of the dependent variables.The tree can identify segments. This can be helpful when a company is trying to understand what is driving market behavior. It detects nonlinear relationship. Mailed 10000 2.6% Male 4677 3.2% Female 2.15 2.1 % 1.7%  £30-45 3.6% > £45 4.1% Age>40 4.3% Age 0.7% Box shows resp rate in percentage The tree growth is through series of steps and rules .say for example sales pieces were mailed to 100000 names and yielded a response rate of 2.6%.the first split is on gender. This indicates that greatest difference between responders and non responders is gender. We see that males are much more responsive than females. We would consider males the better target group If we stop after one split. Our goal is to find out group with in both genders that discriminates between responders and non responders. In the next level split male and female groups are considered separately The second level split from the male node is on income, this implies that the income level varies in most between responders and non responders among the males. For female greatest difference is among the age group .It is very easy to identify the group with the highest response rate. Lets say that management decides to mail only to groups where the response rate is more than 3.5%.the offers would be directed to males who makes more than  £30000 a year and female over age 40 Some typical Classification tree Algorithms are 1) C4.5: Quinlan, J. R. C4.5: Programs for Machine Learning. Morgan Kaufmann., 1993. 2) CART: L. Breiman, J. Friedman, R. Olshen, and C. Stone. Classification and Regression Trees. Wadsworth, 1984 Linear regression and its applicability in marketing Knowledge of deviation from normal is very important for a marketer. In the past such deviations were very difficult to detect. Now-a-days data mining tools give great flexibility to detect and classify these changes. It is a statistical technique that quantifies the relationship between dependent variable and the independent variable, these are continuous. Consider the below equation, it shows a relation ship between sales and advertising along the regression equation .Our goal is to predict the sales based on the amount spend on advt. Plot a graph sales vs. advt that would be linear. A key measure of the strength of the relationship is the R-square. It measures the amount of overall variation in data that explained by the model. More than 70% Of the variation in sales can be explained by variation in advertising. Some times the relationship between sales and Advt is non linear (may be curvilinear) .By using the square root of advertising we are able to find better fit for the data. Sales=17.813+.0897*Advertising  £120  £1,503  £160  £1,755  £205  £2,971  £210  £1,682  £225  £3,497  £230  £1,998  £290  £4,598  £315  £2,937  £375  £3,622  £390  £4,402  £440  £3,844  £475  £4,470  £490  £5,492MINIMIZE SQUARED ERROR Advt sales ADVEGRTISIN -Æ’Â   x axis When building targeting models for marketing, risk and CRM, it is common to have much predictive variable. Using multiple predictive or independent continuous variables to predict a single continuous variable is called multiple linear regression .Targeting model created using linear regression is generally very robust. In marketing they can be used alone or in combination with other model. Neural Networks and its applicability in marketing Neural network does not follow any statistical distribution (Neural network is very vast topic a complete discussion is beyond the scope of this report) .it is modeled after the function of the human brain. The process is one of pattern recognition and error minimization. we can say it as nodes that are arranged in layers. The figure tells simple neural network with one hidden layer. Data has been classified into training and testing set (before the process).Then weight or input is assigned to each of the nodes in the first layer. During each iteration ,the input are processed through the system and compared to the actual value .the error is measured and fed back through the system to adjust the weights. The weights get better at predicting the actual results. A error limit is defined and it check with the error limit the process finishes when the minimum error limit reached One specific type of neural network commonly used in marketing uses sigmoidal functions to fit each node. This technique is very powerful in fitting a binary or twoilevel outcome such as response to an offer or a default on a loan Neural network not only pick linear data but also do a good pick up with non linear relation ship in the data. So this allows fitting data which is not possible to fit using regression. One disadvantage we can say that the result of neural net work is some what difficult to interpret A brief description on how Clustering can applicable in data mining Cluster analysis Cluster analysis group respondents with similar behaviors, preferences, or characteristics into segments. By doing so we can understand important similarities and differences between the respondents. Analyst can use this information to develop targeted marketing strategies, or to provide subgroups for analysis. In market survey data, clustering enables market researchers to group respondents who provide similar responses on several questions. In Clustering we use more than one variable that analyzes responses to several questions in order to find similar respondents. Clustering is based on the concept of creating groups based on their proximity to, or distance from, each other. Respondents within a cluster, therefore, are relatively homogenous. Most widely used Algorithms are 1)K-Means: MacQueen, J. B., Some methods for classification and analysis of multivariate observations, in Proc. 5th Berkeley Symp. Mathematical Statistics and Probability, 1967 2) BIRCH: Zhang, T., Ramakrishna, R., and Livny, M. 1996. BIRCH: an efficient data clustering method for very large databases. In SIGMOD 96 Let us look at some more major areas of application of data mining in the marketing like Customer profiling, Deviation analysis and Trend analysis. The pattern which formed after mining the data helps in analytics. Customer profiling This help to predict several marketing decision. A customer profile is a model of customer based on this marketer decides on the right strategies and tactics to meet the needs of that customer .The data mining task used in customer profiling can be dependency analysis, class identification and concept description. Below giving set of transaction that can help marketer to construct useful customer profiles. Frequency of purchases Marketing firm can build targeted promotion offer such as frequent buyer programs by looking how often their customer purchases product from their shop. Rcency of purchases The meaning of term is How long has it been since this customer last placed an order? Suppose a customer frequently visit the shop.It has been found that the specific customer or customer group not visiting the firm over long period of time .Market investigate the reason. By knowing this they can take appropriate offer or action. Size of purchases It tells, on a particular transaction how much he or she spends. This information helps to give resources to those customer groups. Identifying typical customer groups It gives characteristics of each group .For example a profile indicating that the customer has purchased a WINDOWS 7 SOFTWARE CD may hold to the marketer offering a special deal for MICROSOFT OFFICE SOFTWARE CD. Prospecting Customer profiles like buying patterns, give clues to the marketer on prospective customers. Say for example, consider the pattern Purchase of Norton Anti Virus package with one year validity is followed by purchase of Norton Up gradation version /or new version within 11 months about 85% of the time by high income customers discovered by data mining. Analyst who analysis pattern can identify the prospective customers for Upgraded/new version based on first time purchase details and tailor the mail catalog accordingly, thus, increasing the prospect of sales. 2 Deviation analysis Deviation analysis is one of the important analysis for example a higher than normal credit purchase on a credit card can be a fraud anomaly or a genuine purchase by the customer changes.Once a deviation has been discovered as a fraud, the marketer takes appropriate steps to prevent such frauds and initiates corrective action.If the deviation has been discovered as a change, further information collection is necessary. For example, a change can be that a customer got a new job and moved to a new house. In this case, the marketer has to update the knowledge about the customer. 3) Trend analysis Trends are patterns that persist over a period of time. Trends could be short-term trends like the immediate increase and subsequent slow decrease of sales following a sales campaign. Or, trends could be long-term, like the slow flattening of sales of a product over a few years. Data mining tools, such as visualization, help us detect trends, sometimes very subtle and hidden in the database, which would have been missed using traditional analysis tools like scatter plots. In marketing decisions, trends can be used for evaluating marketing programs or to forecast future sales. Data mining task in marketing data mining domain These tasks present in all data mining process we are just looking it into marketing prospective Dependency analysis Data Visualization Class identification Deviation Detection Concept Description Dependency analysis The market basket analysis gives the relationship between different product purchased by a customer .Using this techniques we can develop marketing strategy for promoting product that have dependency relationship in customers mind. Class identification It groups customers into classes which are defined in advance. Mathematical taxonomy and clustering are being used for class identification task. What the first one does is it maximizes the similarity with in classes but minimize similarity between classes. In clustering approach it determine the clustering according to attribute similarity as well as conceptual cohesiveness as defined by domain knowledge (describe above). A company doing business over the net, based on the session log data of internet users, the firm can classify the web users into email only users Surfers or Just for fun Surfer etc Concept description Comparison analysis will be done using statistical techniques. Using this we can compare marketing and customer knowledge. Deviation detection This helps us to determine the anomaly and changes. We can find the anomaly from various statistical techniques. This is already being explained above. Data visualization This kind of softwares allows the market research team or concerned people to view complex 3-D and 2-D patterns. They also provide drill down drill up slice facilities. In the KDD (knowledge discovery from data base) process, data visualization is used in association with other tasks such as dependency analysis, class identification, deviation detection and clustering. IBM SPSS PASW has got good data visualization techniques. Some of them are explained in Part 1 of the report. Conclusion Report discussed about Data mining process,

Wednesday, November 13, 2019

Pressure Groups Essay -- Politics, Public Engagement

Introduction Pressure groups are known to be small and extremely diverse formed on the basis of interest and activities, their functions give them a high public profile where minds are influenced and driven to make change. â€Å"A Pressure group is an organisation which seeks to influence the details of a comparatively small range of public policies and which is not a function of a recognised political party† (Baggott, 1995: p.2). An aim of pressure groups is to generate support which can influence political agendas; this can directly persuade the government to consider taking action. In this essay I will concentrate upon exploring on various issues on pressure groups, discussing the relationship between the groups, their use of the media and their status as â€Å"insiders† and â€Å"outsiders† in the political process. Pressure groups have two main types of groups the insiders and outsiders which each promote a common cause with a different relationship with the media and political party making one as an unheard voice in the public sphere. To the public Pressure groups is another form where the public can engage in politics, participating directly in the political process. I will also intricate in this essay the arguments against pressure groups from the New Right perspective to the Neo pluralist perspective as well as the growths of pressure groups due to the use of the media and their political engagement. The size of a group is a basic indicator of how much public support they get especially those that posse’s open membership, they mobilise through demonstrations, protest involving some non members through organised events. The different types of well known pressure groups that I will include are ‘Greenpeace’, ‘Child Poverty Action ... ...te and develop policies. Using a term called ‘reactive coverage’ which uses the media to put across its viewpoint and influence. â€Å"The child poverty action group used media coverage to demonstrate that an issue was of public concern and therefore reinforce a case being made civil servants† (Field, 1977, pp53- 4). Environment pressure groups i.e. ‘Greenpeace’ a well known pressure group backed by the government and the public has used the media to help change the ‘climate’ of public opinion having an immediate influence. â€Å"The growing use of the public relations and the media specialist by pressure groups reflects the influence which they believe the mass media have over public opinion and policy decisions† (Baggott, 1995: pp. 184). Other strategies that pressure groups have used are posters or press advertisement in order to get their message across to its public.

Sunday, November 10, 2019

Blue Ocean Study

What is Blue Ocean Strategy? by Nattida Sae-Iw MBA Student What is Blue Ocean Strategy? Let’s start with the metaphors To understand the term of Blue Ocean, imagine a market universe composed of two sorts of oceans: Red Oceans and Blue Oceans. Red Oceans represent the existing market space which is known market. Companies in red oceans are competitive-base; they are fighting each other and aim to get a bigger market share from their competitors. The world now is globalized, the competitions are fiercer than ever, they are battling on the same demand thus this is bloody competition.That’s why it’s called red oceans. Blue Oceans are new, defined as unknown market space. In blue oceans, competition is irrelevant because the rules of the game are waiting to be set. Blue oceans are the opportunity for highly profitable growth. The space is new, no battle so it’s clear market, that’s why this is called Blue Ocean. Productivity ManagementCreativity Managem ent Companies are always successful in the red ocean. How many companies tend to follow the right side of the diagram? Most of companies are tending to follow the left side as that’s normal practice and easier.The right side is a risk taking and companies are trying to avoid it. The red ocean is always matter and is a fact of business life. However, with exceeding demand and more competitors, companies need to go beyond competing. To grow business opportunity, the companies need to create blue oceans. Unfortunately, blue oceans are uncharted and large. Without guideline and frameworks to create blue oceans is seen to be risky. Therefore, there are some methodologies to help on how to create them. According to the article, it can be summarized that the basic structure of creating blue oceans are as follows: Focus on Future, answer yourself with these questions whether you are ready to create blue oceans. Simple questions you need to challenge you are really blue color. How Blu e is your strategy: 1. Creating new demand instead of striving to do better than competitors 2. Looking for non-customers instead of getting a bigger share of customers 3. Challenging assumptions and reconstructing industry 4. Voluntary participating self- initiated teams 5. Executing strategies while conserving time and resources †¢ Strategies Canvas – Capture both current state and also demand side of alternatives 1.Do dimension on graph: value factors that are important, what your industry focuses on. Graph the company then graph for your own 2. Look at the frameworks 3. Try to answer 4 questions (New value curve) and review what does the industry curve look like? And what does your company’s curve look like? Then apply four actions frameworks to build a winning strategy. Reduce: Which factors should be reduced well below the industry’s standard? Eliminate: Which of the factors that the industry takes for granted should be eliminated? Raise: Which factor s should be raised well above the industry’s standard?Create: Which factors should be created that the industry has never offered? Blue Ocean is not about taking risk and also not avoiding risk. It’s maximizing opportunities and minimizing risks. Blue Ocean focuses on six different risks that are associated with formulations strategy. o Search risk – How you come up with the right idea? o Planning risk – Not just let strategic tools store in document shelf. Create a big picture and make it visualized. o Scale risk – To make sure you are going out to the ocean, not just a pool and try to reach beyond existing demand. Business model risk – Get the strategic sequence right o Organizational risk – Strategy must come together with good resources. o Management risk – Motivation which is associated with people’s attitudes and behaviors. 4. Execute – After lying out the tools and frameworks in the formulation and then mot ivating people to act on and execute a blue ocean strategy. In short, Blue Ocean is about changing in what current industries believe, and create new value to serve customers, that’s called â€Å"Value Innovation†.Focusing on non-customers and find out why they are non-customers then provide high value to them and change them from non-customers to be your customers (Create and capture new demand). Besides, the creation of Blue Ocean is about driving costs structure down while driving value up for buyers. This systematic process is all about Blue Ocean point of view. ———————– Managing cost Quality Control Assets Utilization Operational Efficiency Growth/ Innovation Creativity methods New Brand Development Global Reach

Friday, November 8, 2019

Essay about My School Life Essays

Essay about My School Life Essays Essay about My School Life Paper Essay about My School Life Paper After finishing his writing ,he picks up someone randomly from the group of students and ask that questions. It does not require deep reading of the topic to answer those questions; one can easily answer those questions just by doing overview of the topic before that class, so by answering that question correctly student can build self confident and also it encourage others to read about the topic before the class. Unlike other teachers in his the class room, Mr Shahs teaching method is totally different. He wont use his notes or book, instead he asks students to read it from the book and then he explains that on board so in that way student not only understand topic by listing but simultaneously reading that from book. That also creates excitement in student while reading among all other students and that also enhance reading skills of the students . Unlike Mr Shah during his class Mr Patel always do presentations using power point that makes topic not only interesting but also easy to understand. During class presentation he always uses some interesting pictures and videos which attract students so students can understand remember that topic easily. Mr. Shah also does non traditional activity like going on field trip during quarter that gives an clear idea about subject and better understanding by putting live example infornt of students. For instance we visited discovery museum and science centre during class. The purpose of that trip was to take science learning out of class room and moves it in to real world. I was really impressed from this teacher. His methods not only creates an excitements in class room but also make me study and try perform better and better in class among other classmates and finally lead me to good grades in chemistry. While in Maths class we do not have to write down final exam paper instead Mr Patels class required that student have to present that their work as a individual or part of team , In that class we did presentation of solving quadratic equation using mathematics software, that was really challenging and was also fun to work and learn with new software to solve maths problem that makes us to think about different available software in todays world and choosing best for our application that gives us an idea about latest technologies and latest development the field. Even though my both the teachers have totally different personalities and method to teach their students, I have no doubt to consider both of them to be an effective teachers even with different presentation, teaching methods, standards. They improved my life a lot, due to their inspiration today I am able to peruse my masters in analytical chemistry at California state university, los angels. With out doubt I can say that both are very effective teachers for me.

Wednesday, November 6, 2019

Themes1 essays

Themes1 essays Matthew Sinrod Dr. Doyle Eng 102 5/5/98 "Themes in "The Grapes of Wrath" John Steinbeck was born in Salinas, California February 27th 1902. He was the third of four children and the only son of John Ernst Steinbeck II, manager of a flour mill, and Olive Hamilton Steinbeck, a former teacher. Steinbeck said of his youth, ("We were poor people with a hell of a lot of land which made us think we were rich people, even when we couldn't buy food and were patched.") Steinbeck used the area where he grew up as the setting for many of his stories. He attended Stanford University for a few years. He had to work to pay for his education, and sometimes took off one quarter to pay for the next. (He worked as a clerk in several stores, was a hand in a ranch, and even worked at the Spreckels Sugar Company where he gained knowledge of labor problems he would later write about in The Grapes of Wrath.) Other books by Steinbeck include Of Mice and Men, Tortilla Flat, and Cannery Row. He died in New Yor k City on December 20th 1968. Sinrod 2 A constant theme in our story is the suffering of humans. As F.W. Watt says, (The primary impact of The Grapes of Wrath...is not to make us act, but to make us understand and share a human experience of suffering and resistance.) Steinbeck shows us that his characters, as well as all people must endure suffering as human beings. Humans suffer due to many factors. Religious suffering is one factor which is self imposed. (When we first see Casy he is explaining to Tom Joad how he left preaching, not merely because of the lusts that plagued him, but because religious faith as he knew it seemed to set up codes of behavior which denied human nature its proper and full expression) Religious suffering is perhaps epitomized in Jesus Christ, and Joseph Fontenrose believes the tragic character of Casey is believed to be the symbolic representation of Jesus Christ himself. (Jim Casy's initials are JC, and he retired to the wild ...

Monday, November 4, 2019

Personal and Professional Development Assignment - 12

Personal and Professional Development - Assignment Example So, I need to create a mindmap regarding self management of my learning and career in art. After setting my ultimate goal in life, I have set up short-term goal at various levels such as personal, educational, artistic, financial and so on with a definite time limit, which will enable to achieve big target of my life. After that, I always keep updating a to-do-list on daily basis to achieve my short-term goals (Developing Personal and Professional Skills | Faint Apogee - Academia.edu. 2015). I continue to reflect on my work with SWOT analysis of personality at regular intervals. This is best way to analyze the situation in hand and plan for next day. The regular SWOT analysis enables me to remind myself about my goal in life and remove any distraction which is impeding my progress towards the goal. I use most of the mediums for study of art which are available today such as regular lectures and mentoring in collage, visit galleries during exhibitions, interview artists when they are available and read miscellaneous art books in my spare time. I also browse art sites on internet and keep in touch with various artists on social networking sites and attend art workshops (Developing Personal and Professional Skills | Faint Apogee - Academia.edu. 2015). For staying on track, I need to review my goals and my achievement from time to time in an honest manner. For self-assessment, I am objective, honest, a relaxed manner and quiet environment among other things to assess strength and weakness. This is required for increasing commitment to set goals develop competencies in weak areas. There are many self assessment tools in market which are easy to access and thorough but, I like to do my self-appraisal with a very well known assessment tool which is used all over the world by companies regardless of their size and structure. This self assessment tool is known as SWOT analysis. Normally, this self- assessment tools is used

Friday, November 1, 2019

Spiral Jetty by Robert Smithson Essay Example | Topics and Well Written Essays - 750 words

Spiral Jetty by Robert Smithson - Essay Example The essay "Spiral Jetty by Robert Smithson" discovers Spiral Jetty, the earthwork sculpture by Robert Smithson. The Spiral Jetty was completed in 1970 and is located in Great Salt Lake, Utah. Museums around the world show pictures of the earthworks created by Robert. Robert was killed in a plane crash in 1973 while overseeing one of his artworks by plane. Robert’s use of the earth to create modern art was a form of larger than life expression and a new way to produce works of art. The works by Robert made him an original contributor and opened a gateway for new artist to express themselves. During the 1970’s this was a time of change. People were expressing themselves more than ever and looking to change the world. Robert Smithson appeared to be much appreciative of the earth and each architectural element the earth was able to provide. Robert traveled around the world searching for specific areas where he could produce earth works and create art that would exert the mo st artistic impact. This is shown in a trip made by Robert Smithson and John Lloyd Stevens. During the trip the two traveled to the Yucatan Peninsula on an expedition in what Roberts hoped to find a new place to create art. This was just one of many trips made by Robert. Roberts contributed too many creative contributions that shaped art in the 1970’s. Spiral Jetty which was created in Great Salt Lake, Utah is a great example of the many creative contributions that Robert created. Spiral Jetty took much man power to create. Spiral Jetty is 1500ft long and spirals. The earth work was made possible by the use of dump trucks, a tractor and 6500 tons of earth (Galenson). What made the earth work so creative was not the work out into creating it but the idea that the Spiral Jetty would not be visible at all times. The Great Salt Lake rises and lowers. This rising and lowering meant that the Spiral Jetty would not be visible at all times. When the Spiral Jetty was finally made visi ble, it was a beautiful piece of art made solely out of earth. Symbolism Each piece of art created by Robert Smithson symbolized so much more than the average art. It has been quoted throughout the life of Robert that he thought of a new way of thinking. This new way of thinking symbolized that art was not something that could only be displayed in a museum (White Duncan). Robert proved this by his way of showing that art can come in any size. It was also very symbolic for an artist to display a form of art that was only visible when the water level was appropriate. This clearly symbolized that art is something that should be appreciated as one may not know when it will be visible again. Meaning of the Works There is much meaning felt behind the works of Robert Smithson and creations like the Spiral Jetty. Robert had a mind that wanted to express art in a new way. Although he was not the only artist to explore using earth to create art, the meaning behind his work leaves one to wonde r the meaning. This could be exactly what Robert wanted to create. He may have wanted those in the future to create their own meaning behind what was created. That is the beauty behind art in itself. Each on looker will develop a sense and feeling toward each piece of work. That makes work like the Spiral Jetty so remarkable. This also gives meaning to words that Robert lived by which explained that art is not something that necessarily has to be kept in a museum. Conclusion The artwork made by artist in the late twentieth century opened many doors and enabled future artist to look at art in a different perspective. Earthworks showed how precious and beautiful earth can be. Showing earths beauty was an important part of life for many in the 1970’