data mining techniques arun k pujari ppt
John wiley sons data mining techniques for marketing sales_20 pptx
... variables, 554 KDD (knowledge discovery in databases), 8 Kimball, Ralph (The Data Warehouse Toolkit), 474 Kleinberg algorithm, link analysis, 332–333 K- means clustering, 354–358 knowledge discovery ... discussed, 7 Data Preparation for Data Mining (Dorian Pyle), 75 The Data Warehouse Toolkit (Ralph Kimball), 474 data warehousing customer patterns, 5 for decision support, 13 discussed, 4 database ... level data, 96 publications Building the Data Warehouse (Bill Inmon), 474 Business Modeling and Data Mining (Dorian Pyle), 60 Data Preparation for Data Mining (Dorian Pyle), 75 The Data...
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John wiley sons data mining techniques for marketing sales_2 pptx
... look at each factor in turn. Data Is Being Produced Data mining makes the most sense when there are large volumes of data. In fact, most data mining algorithms require large amounts of data ... of techniques to apply in a particular situation depends on the nature of the data mining task, the nature of the available data, and the skills and preferences of the data miner. Data mining ... resolve these issues. Data mining can help make more informed decisions. It can suggest tests to make. Ultimately, though, the business needs What Is Data Mining? Data mining, as we use the...
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John wiley sons data mining techniques for marketing sales_6 ppt
... in several areas: ■■ Data miners tend to ignore measurement error in raw data. ■■ Data miners assume that there is more than enough data and process-ing power. ■■ Data mining assumes dependency ... 11:11 AM Page 159The Lure of Statistics: Data Mining Using Familiar Tools 159 statisticians use similar techniques to solve similar problems, the data mining approach differs from the standard ... potentially represent spurious patterns that might be picked up by data mining algorithms. One major difference between business data and scientific data is that the latter has many continuous values...
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Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES ppt
... Akeel Al-Attar, 1998, Data Mining – Beyond Algorithms’, http://www.attar.com/tutor /mining. htm.[2] Berry, J. A. Michael; Linoff, Gordon, 1997, Data Mining Techniques: For Marketing, Sales, andCustomer ... one search for patterns of information in data (Parsaye, 1997).Figure 2: Rule Induction process Data mining techniques are based on data retention and data distillation. Rule induction models ... DATA MINING TECHNIQUES The objective of data mining is to extract valuable information from one’s data, to discover the ‘hiddengold’. In Decision Support Management terminology, data mining can...
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CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES
... Akeel Al-Attar, 1998, Data Mining – Beyond Algorithms’, http://www.attar.com/tutor /mining. htm.[2] Berry, J. A. Michael; Linoff, Gordon, 1997, Data Mining Techniques: For Marketing, Sales, andCustomer ... the Greek shippingsector. The main data set consists of 523 customers (test set: 100, training set: 423) and 5 criteria.Prediction level is quite satisfactory resulting that data mining techniques ... of Data Set(training and test set)Filling theempty cellsMUSAFinal AnalysisIs the Data SetComplete?YesNoSelection of completequestionnaires CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES Nikolaos...
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Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES pdf
... Marketing at theUniversity of Glasgow, Glasgow, UK. Mark M.H. GoodeLecturer in Marketing and MarketResearch, at Cardiff University, Cardiff, UK. Luiz MoutinhoFoundation Chair of Marketing ... were originally derived Restaurants: Burger King, Checkers, Kentucky Fried Chicken, McDonald’s Taco Bell and Wendy’s (cross national) Questions asked by student teams to customers immediately ... markets (ECSI, ACSI) but: they do not provide information on a timely useful basis as needed by managers of business enterprises in highly charged, rapidly changing niche markets like the...
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Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management - Second Edition
... of techniques to apply in a particular situation depends on the nature of the data mining task, the nature of the available data, and the skills and preferences of the data miner. Data mining ... resolve these issues. Data mining can help make more informed decisions. It can suggest tests to make. Ultimately, though, the business needs What Is Data Mining? Data mining, as we use the ... The Role of Data Warehousing 4 The Role of Data Mining 5 The Role of the Customer Relationship Management Strategy 6 What Is Data Mining? 7 What Tasks Can Be Performed with Data Mining? 8 Classification...
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data mining techniques
... Applications and Trends in Data Mining 64911.1 Data Mining Applications 64911.1.1 Data Mining for Financial Data Analysis 64911.1.2 Data Mining for the Retail Industry 65111.1.3 Data Mining for the Telecommunication ... Motivated Data Mining? Why Is It Important? 11.2 So, What Is Data Mining? 51.3 Data Mining On What Kind of Data? 91.3.1 Relational Databases 101.3.2 Data Warehouses 121.3.3 Transactional Databases ... Classification of Data Mining Systems 291.7 Data Mining Task Primitives 311.8 Integration of a Data Mining System witha Database or Data Warehouse System 341.9 Major Issues in Data Mining 36viiDedicationTo...
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John wiley sons data mining techniques for marketing sales_4 pdf
... 11:10 AM Page 97 Data Mining Applications 97 mining techniques used to generate the scores. It is worth noting, however, that many of the data mining techniques in this book can and have been ... Dorian Pyle has written a book about it, Data Preparation for Data Mining (Morgan Kaufmann 1999), which should be on the bookshelf of every data miner. In this book, these issues are addressed ... of personal data. Before planning to use houshold data for marketing, look into its availability in your market and the legal restrictions on making use of it. Household-level data can be used...
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John wiley sons data mining techniques for marketing sales_5 pdf
... of Statistics: Data Mining Using Familiar Tools 127 Looking at Discrete Values Much of the data used in data mining is discrete by nature, rather than contin-uous. Discrete data shows up in ... to be identified so the behavior of the market research participants is known. Most of the directed data mining techniques discussed in this book can be used to build a classification model ... is one way of taking several variables and converting them to similar ranges. This can be useful for several data mining techniques, such as clustering and neural net-works. Other uses of...
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Tài liệu Data Preparation for Data Mining- P12 pptx
... output error backwards from the output is known as propagating the error backwards, or back-propagation. The back-propagation referred to in the name of the network only takes place during ... uncertain or unknown. Future stock market performance, for instance, is impossible to accurately predict—this is intrinsically unknowable information, not just unknown-but-in-principle-knowable information. ... Stochastic Network Performance A neural network is a stochastic device. Stochastic comes from a Greek word meaning “to aim at a mark, to guess.” Stochastic devices work by making guesses...
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Tài liệu Data Preparation for Data Mining- P13 pptx
... if any lakes suitable for sailing were there. With a data survey, a miner can avoid trying to predict the stock market from meteorological data. “Everybody knows” that there are no lakes in Arizona. ... what the data “means” or predicts. The prepared data set still has to be used. How is this data used? The last two chapters look not at preparing data, but at surveying and using prepared data. ... resampling techniques. These techniques do not affect data preparation since they are only properly applied to already prepared data. However, there is one data preparation technique used when data...
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