data mining techniques by arun k pujari free pdf

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 ... of Data Set(training and test set)Filling theempty cellsMUSAFinal AnalysisIs the Data SetComplete?YesNoSelection of completequestionnaires CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES Nikolaos ... induction data mining. Furthermore, it is examined whether the implementation of the two methodologies may offer a solutionto the problem of missing data, in the initial data set.KEYWORDS:...

Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES ppt

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... 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...

Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES pdf

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... 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 ... 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 ... 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...

Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management - Second Edition

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... 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 ... direct marketing cam-paign by allowing fewer prospects to be contacted. How did the mobile phone company get such scores? By data mining, of course! How Data Mining Was Applied Most 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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data mining techniques

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... 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 36vii...

John wiley sons data mining techniques for marketing sales_20 pptx

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... 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...

John wiley sons data mining techniques for marketing sales_2 pptx

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... 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 ... direct marketing cam-paign by allowing fewer prospects to be contacted. How did the mobile phone company get such scores? By data mining, of course! How Data Mining Was Applied Most data mining...

John wiley sons data mining techniques for marketing sales_4 pdf

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... 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 ... allows prospects to be ranked by likelihood of response is sufficient. Given a ranked list, direct marketers can increase the percentage of responders reached by campaigns by mailing or calling...

John wiley sons data mining techniques for marketing sales_5 pdf

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... 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 ... valuable and at risk, and take steps to protect themselves from customers who are likely to default. 470643 c05.qxd 3/8/04 11:11 AM Page 131The Lure of Statistics: Data Mining Using Familiar...

John wiley sons data mining techniques for marketing sales_6 ppt

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... 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 ... 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 ... contacted as well as who responded. Data Mining and Statistics Many of the data mining techniques discussed in the next eight chapters were invented by statisticians or have now been integrated...

John wiley sons data mining techniques for marketing sales_8 ppt

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... networks are best approached as black boxes with internal work-ings as mysterious as the workings of our brains. Like the responses of the Oracle at Delphi worshipped by the ancient Greeks, the ... error is fed back through the network and the weights are adjusted to minimize the error—hence the name back propagation because the errors are sent back through the network. The back propagation ... Heuristics for Using Feed-Forward, Back Propagation Networks Even with sophisticated neural network packages, getting the best results from a neural network takes some effort. This section covers...

John wiley sons data mining techniques for marketing sales_12 doc

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... 379 Population Cluster 1 13 7K Subs 31 3K HH 44% Pen 20 3K Subs 102MM HH 17% Pen Cluster 1A Cluster 1AA 1 1K Subs 27 7K HH 4% Pen 8 2K Subs 37 5K HH 22% Pen Cluster 2 Cluster 1B Cluster ... three methods. X 2 X1 Closest clusters by centroid method C1 C2 C3 Closest clusters by complete linkage method Closest clusters by single linkage method Figure 11.10 Three methods of ... introduces the K- Means clustering algorithm which, like the nearest neighbor techniques dis-cussed in Chapter 8, depends on a geometric interpretation of data. The geo-metric ideas used in K- Means...

John wiley sons data mining techniques for marketing sales_13 docx

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... the data speak instead of finding a special function to speak for it. Empirical hazard probabilities simply let the historical data determine what is likely to happen, without trying to fit data ... statistical background of survival analysis is focused on extracting every last bit of information out of a few hundred data points. In data mining applications, the volumes of data are so large ... curve looks appropriate. However, the curve itself is quite jagged. It seems odd, for instance, that 10-week retention would be bet-ter than 9-week retention, as suggested by this data. 470643...

John wiley sons data mining techniques for marketing sales_19 potx

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... redundant. Choosing a Data Mining Technique The choice of which data mining technique or techniques to apply depends on the particular data mining task to be accomplished and on the data available ... useful-ness of data mining by looking at the results of the actions suggested by the data mining effort. One of the companies, a wireless service provider, agreed to let us describe its data mining ... The Dark Side of Data Working with data is a critical part of the data mining process. What does the data mean? There are many ways to answer this question—through written documents, in database...