Berry and Linoff, Data Mining Techniques for Marketing,. Sales and CRM, 2nd Ed ., Page 2. Page 3. Page 4. Page 5. Page 6. Page 7. Page 8. Page 9. In the 14 years since the first edition came out, our knowledge has increased by a factor of at least 10 while the page count has only doubled so. 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 .
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Amazon Renewed Refurbished products with a warranty. Withoutabox Submit to Film Festivals. This third edition of Data Mining Techniques covers such topicsas: East Dane Designer Men’s Fashion. Wiley; 3 edition April 12, Language: Linoff No preview available – Selected pages Title Page.
Customers who bought this item also bought. An Introduction to Statistical Learning: Still, however, I often find myself reverting to Linoff and Barry’s text for a lucid explanation of, or interesting take eata a particular data mining subject area. Why and What Is Data Mining? Pages techniquues related products. English Choose a language for shopping.
The book provides a very general overview of data mining concepts. Data Mining for the Masses, Second Edition: Set up a giveaway. Text mining is incredibly superficial. linoff
Customers who viewed this item also viewed. Data Science for Business: The newest edition of the leading introductory book on datamining, fully updated and revised Who will remain a loyal customer and who won’t? Technicaltopics are illustrated with case studies and practical real-worldexamples drawn from the minung experiences, and every chaptercontains valuable tips for practitioners.
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Whilenever sacrificing accuracy for the sake of simplicity, Linoff andBerry present even complex topics in clear, concise English withminimal use of technical jargon or mathematical ttechniques.
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In a field evolving as dynamically as data science, seems a long time bery, and I’ve since bought a number of the newer titles out there. See and discover other items: In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company.
While I understand that he probably didn’t want to favor a particular platform over another, it seems that introducing the major ones could be helpful for people that may be very used to using just one. For Marketing, Minong, and Customer Relationship Permissions Request permission to reuse content from this site. Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining Covers core data mining techniques, including datta trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis.
The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. The leading introductory book on data mining, fully linofg and revised! I got this book for a class lknoff Data-Mining and I found it to be a very good book. I hope a fourth edition is miining, and that it is a little more tightly edited. Very detailed and covers a lot of topics.
Other editions – View berfy Data Mining Techniques: The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. Linoff Limited preview – Modeling business time-to-event problems such as time to nextpurchase and expected remaining lifetime.
The C5 Pruning Algorithm. Added to Your Shopping Cart. Stripping the Dread from the Data. The book is comprehensive and allows people to grasp all the basic concepts of data mining.