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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This book supplies powerful tools for extracting theanswers to these and other crucial business questions from thecorporate databases where they lie buried. While I understand that he probably didn’t want to favor a particular techniqeus over another, it seems that introducing the major ones could be helpful for people that may be very used to using just one.

Data Mining Methodology and Best Practices. I hope a fourth edition is forthcoming, and that it is a little more tightly edited.

Berry and Linoff: Data Mining Techniques 3rd Edition

In this latest edition,Linoff and Berry have made extensive updates and revisions to everychapter and added several new ones. Add both to Cart Add both to List. Numbers Rule Your World: Don’t have a Kindle? Amazon Rapids Fun stories for kids on the go.

I used datta in a graduate level course I took this spring and it was easy to read and understand. 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 decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, technlques survival analysis.


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Added to Your Shopping Cart. In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company. Amazon Inspire Digital Educational Cata. I got this book for a class on Data-Mining and I found it to be a very good book.

LinoffMichael J. Similar to Excel 15 years ago, Data Mining Techniques are the new required skill set for business professionals. Ships from and sold by Amazon. Start reading Data Mining Techniques on your Kindle in under a minute.

My only complaint about the work is that it is a berrry redundant and otherwise verbose at times. They have jointly authored two of the techniquse data mining titles in the field, Data Mining Techniques and Mastering Data Mining both from Wiley. Data Mining Using Familiar Tools.

Berry and Linoff: Data Mining Techniques 3rd Edition

Its chapters on statistical methods are weak. Would you like to tell us about a lower price? Very detailed and covers a lot of topics. Amazon Advertising Find, attract, and engage customers. My library Help Advanced Book Search.

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Selected pages Title Page. Market Basket Analysis and Association Rules. In a field evolving as dynamically as data science, seems a long time ago, and I’ve since bought a number of the newer titles out there.

Who will remain a loyal customer and who won’t? For Marketing, Sales, and Customer Relationship 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 with daya 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.

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After establishing the business context with an overview of datamining applications, and introducing aspects of data miningmethodology common to all data mining projects, the book coverseach important data mining technique in detail. The best chapters are on neural nets and clustering. Putting Data Mining to Work. English Choose a language for shopping.

Read reviews that mention data mining data science mining techniques good book chapters examples technical class major text analytics concepts statistics verbose. Still, however, I often find myself reverting to Linoff and Barry’s text for a lucid explanation of, or interesting take on a particular data mining subject area. Account Options Sign betry.