Data Mining Techniques thoroughly acquaints you with the new generation of data mining tools and techniques and shows you how to use them to make better . Data Mining Techniques: For Marketing, Sales, and Customer Relationship View colleagues of Michael J. A. Berry View colleagues of Gordon S. Linoff. Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management. Front Cover · Michael J. A. Berry, Gordon S. Linoff. John Wiley & Sons.
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Berry Limited preview – The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk.
Amazon Renewed Refurbished products with a warranty. Similar to Excel 15 years ago, Data Mining Techniques are the new required skill set for business professionals.
Anyone interested in automating and improving decisions should have this book. Data Mining throughout the Customer Life Cycle. One person found this helpful. East Dane Designer Men’s Fashion. Finding Islands of Similarity: Modeling business time-to-event problems such as time to nextpurchase and expected remaining lifetime.
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LinoffMichael J. Building the Data Mining Environment. Technicaltopics are illustrated with case studies and practical real-worldexamples drawn from the authors’ experiences, and every chaptercontains valuable tips for practitioners. Chapter 9 Nearest Neighbor Approaches: The book is comprehensive and allows people to grasp all the basic concepts of data mining.
Linoff No preview available – Very detailed and covers a lot of topics. How to Measure Anything: Build Models Step 8: Would you like to tell us about a lower price? ComiXology Thousands of Digital Comics.
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The newest edition of the leading introductory book on berrg, fully updated and revised Who will remain a loyal customer and who won’t? The best chapters are on neural nets and clustering. Finding patterns with undirected techniques such as clustering,association rules, and link analysis. Assess Results Step Request an Evaluation Copy for this title.
How to create stable, long-lasting predictive models Data preparation and variable selection Modeling specific targets with directed techniques such asregression, decision trees, neural networks, and memory basedreasoning Finding patterns linogf undirected techniques such as clustering,association rules, and link analysis Modeling business time-to-event problems such as time to nextpurchase and expected remaining lifetime Mining unstructured text The companion website provides data that can be used to test outthe various data mining techniques in the book.
Who will remain a loyal customer and who won’t? Working with Text Data Case Study: Learn more about Amazon Prime. The exercises were prepared by one of the authors Michael Berry.
Knowing When to Worry: Read more Read less. Data Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then linofg how you can apply that technique for improved marketing, sales, and customer support to get immediate results. Asking the Neighbors for Advice Case Study: Learn more about Amazon Giveaway. I hope a fourth edition is forthcoming, and that it is a little more tightly edited.
I haven’t made it through the entire book, but this serves as a solid reference for different topics in data mining. Please try again later. Start Free Trial No credit card required. Get fast, free shipping with Amazon Prime. Not Enabled Word Wise: R for Data Science: Data Science for Business: Description The leading introductory book on data mining, fully updated and revised! Showing of 31 reviews.
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Data Mining Applications in Marketing. Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately. The duo of unparalleled authors share invaluable advice for improving response rates to direct linofc campaigns, identifying new customer segments, and estimating credit risk.
Preparing Data for Mining.