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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Who will remain a loyal customer and who won’t? Which messagesare most effective with which segments? How can customer value bemaximized?

This book supplies powerful tools for extracting theanswers to these and other crucial business questions from thecorporate databases where they lie buried.

In the years since thefirst edition of this book, data mining has grown to become anindispensable tool of modern business. In this latest mning and Berry have made extensive updates and revisions to everychapter and added several new ones.

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 formulas.

Technicaltopics are illustrated with case studies and befry real-worldexamples drawn from the authors’ experiences, and every chaptercontains valuable tips for practitioners. New chapters are devoted todata preparation, derived variables, principal components and othervariable reduction techniques, and text mining. 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.

Modeling specific targets with directed techniques such asregression, decision trees, neural networks, and memory basedreasoning. Finding patterns with 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. The companion website provides data that can be used to test outthe various data miniing techniques in the book.

Would you like to tell us about a lower price? If you are a seller for this product, would you like to suggest updates through seller support? The leading introductory book on data mining, fully updated and revised!

When Berry xata Linoff wrote the first edition of Data Mining Techniques in the late s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. The duo of tecyniques authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk.


In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary cata for data mining at your company. Read more Read less. Add both to Cart Add both to List.

Berry and Linoff: Data Mining Techniques 3rd Edition

Buy the selected items together This item: Ships from and sold by Amazon. How to Measure Anything: Customers who bought this item also bought. Page 1 of 1 Start over Page 1 of 1. Finding the Value of Intangibles in Business. Data Mining for the Masses, Second Edition: Data Science for Business: Modern Systems Analysis and Design 8th Edition. Numbers Rule Your World: The newest edition of the leading introductory book on datamining, fully updated and revised Who will remain a loyal customer and who won’t?

This third edition of Data Mining Techniques covers such topicsas: 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 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.

Wiley; 3 edition April 12, Language: Start reading Data Mining Techniques on your Kindle in under a minute. Don’t have a Kindle? Try the Kindle edition and experience these great reading features: Share your thoughts with other customers.

Write a customer review. Read reviews that mention data mining data science mining techniques good book chapters examples technical class major text analytics concepts statistics verbose.

Showing of 31 reviews. Top Reviews Most recent Top Reviews. There was a problem filtering reviews right now. Please try again later. I got this book for a class on Data-Mining and I found dtaa to be a very good book.

It has good visuals to help the reader understand the technniques in technisues book and maintains a good sense of humor throughout so reading it doesn’t seem gechniques dense as some of my typical statistics books. My only criticism of the book would be that it never discusses beerry software platforms for performing these tasks.

While I understand that he linfof 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. 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. 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.


That’s not an issue, however, as such instructional information is available elsewhere if needed. My only complaint about the work is that it is a little redundant and otherwise verbose at times. I hope a fourth edition is forthcoming, and that it is a little more tightly edited.

I taught myself data mining using this book. I also was in my MBA Decision Science class the next year and they used the exact same book, but I had already techniqies the book front to back.

I aced that class. The book is comprehensive and allows people to grasp all the basic concepts of data mining. One person found this helpful. I would give five stars if they included some example coding in any of the major languages, SAS, python, R I haven’t made it through the entire book, but this serves as a solid reference for different topics in data mining. I used it in a graduate level course I took this spring and it was easy to read and understand.

Similar to Excel 15 years ago, Data Mining Techniques are the new required skill set for business professionals. Learning techniques from a professionals Gordon Linoff and Michael Berry provides an excellent foundation. Very detailed and covers a lot of topics. Kindle Edition Verified Purchase. The book provides a very general overview of data mining concepts.

It is primarily for non-technical audience. Its chapters on statistical methods are weak. The best chapters are on neural nets and clustering. Text mining is incredibly superficial. See tecnhiques 31 reviews. Amazon Giveaway allows you to run promotional giveaways in order to create buzz, reward your audience, and attract new followers and customers.

Learn more about Amazon Giveaway. Set up a giveaway. Customers who viewed this item also viewed. An Introduction to Statistical Learning: Stripping the Dread from the Data. Pages with related products. See minijg discover minjng items: There’s a problem loading this menu right now.

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