data mining techniques and concepts
Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx
... Married 80K ? 10 Test Data © Tan,Steinbach, Kumar Introduction to Data Mining 25 Splitting Based on Continuous Attributes© Tan,Steinbach, Kumar Introduction to Data Mining 46 Tree InductionGreedy ... Tan,Steinbach, Kumar Introduction to Data Mining 3 Illustrating Classification Task© Tan,Steinbach, Kumar Introduction to Data Mining 13 Apply Model to Test Data RefundMarStTaxIncYESNONONOYes ... AttributesTraining Data Model: Decision Tree© Tan,Steinbach, Kumar Introduction to Data Mining 8 Decision Tree Classification TaskDecision Tree© Tan,Steinbach, Kumar Introduction to Data Mining 35...
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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 ... By data mining, of course! How Data Mining Was Applied Most data mining methods learn by example. The neural network or decision tree generator or what have you is fed thousands and thousands ... that, on a technical level, the data mining effort is working and the data is reasonably accurate. This can be quite comforting. If the data and the data mining techniques applied to it are powerful...
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CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES
... 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, and Customer ... of Data Set(training and test set)Filling theempty cellsMUSAFinal AnalysisIs the Data SetComplete?YesNoSelection of completequestionnaires CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES Nikolaos ... 1998, ‘A data mining application for issuing predictions, summarizing the data and revealing interesting phenomena’, http://www.wizsoft.com/why.html.[7] Mihelis G.; Grigoroudis E.; and Siskos...
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Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES ppt
... BASED 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 ... 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 ... 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, and Customer...
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Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES pdf
... cross cultural analysis Managerial implications and recommendations Style: scientific and statistical-7-18/01/2006Ulrich Öfele3. Methodology and Instruments: Customer Satisfaction Survey ... service quality and enhance growth through increased consumerism -2-18/01/2006Ulrich ÖfeleOverview:1. Authors and outline of the text2. Research objectives3. Methodology and Instruments4. ... of same methods with which SatPers and SatSett were originally derived Restaurants: Burger King, Checkers, Kentucky Fried Chicken, McDonald’s Taco Bell and Wendy’s (cross national) Questions...
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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 ... Mining 66711.3.4 Data Mining and Collaborative Filtering 67011.4 Social Impacts of Data Mining 67511.4.1 Ubiquitous and Invisible Data Mining 67511.4.2 Data Mining, Privacy, and Data Security ... Commercial Data Mining Systems 66311.3 Additional Themes on Data Mining 66511.3.1 Theoretical Foundations of Data Mining 66511.3.2 Statistical Data Mining 66611.3.3 Visual and Audio Data Mining...
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John wiley sons data mining techniques for marketing sales_20 pptx
... 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 ... Business Modeling and Data Mining, 60 Data Preparation for Data Mining, 75 470643 bindex.qxd 3/8/04 11:08 AM Page 619C Index 619 calculations, probabilities, 133–135 call detail databases, 37 ... 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...
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John wiley sons data mining techniques for marketing sales_2 pptx
... 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 ... By data mining, of course! How Data Mining Was Applied Most data mining methods learn by example. The neural network or decision tree generator or what have you is fed thousands and thousands ... the data mining solu-tion is more than just a set of powerful techniques and data structures. The techniques have to be applied in the right areas, on the right data. The virtuous cycle of data...
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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 ... relationships suggest new hypotheses to test and the data mining process begins all over again. Lessons Learned Data mining comes in two forms. Directed data mining involves searching through historical ... independent of the data 470643 c04.qxd 3/8/04 11:10 AM Page 87 Data Mining Applications in Marketing and Customer Relationship Management 4 CHAPTER Some people find data mining techniques interesting...
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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 ... statisticians and data min-ers. Our goal is to demonstrate results that work, and to discount the null hypothesis. One difference between data miners and statisticians is that data miners are ... for prospects and, because it is behavioral in nature rather than sim-ply geographic and demographic, it is more predictive. Data mining is used to identify additional products and services...
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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 ... 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 statistical approach ... 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 and the former has many discrete...
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Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf
... Specific-to-general Data Mining Association Analysis: Basic Concepts and AlgorithmsLecture Notes for Chapter 6Introduction to Data Mining byTan, Steinbach, Kumar© Tan,Steinbach, Kumar Introduction to Data ... to Data Mining 49 Effect of Support DistributionMany real data sets have skewed support distributionSupport distribution of a retail data set© Tan,Steinbach, Kumar Introduction to Data Mining ... may decouple the support and confidence requirements© Tan,Steinbach, Kumar Introduction to Data Mining 16 Reducing Number of ComparisonsCandidate counting:–Scan the database of transactions...
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