The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, 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. This new edition--more than 50% new and revised-- is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled 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 infrastructure for data mining at your company. 
<ul>
<li>Features significant updates since the previous edition and updates you on best practices for using data mining methods and techniques for solving common business problems</li> <li>Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately</li> <li>Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more</li> <li>Provides best practices for performing data mining using simple tools such as Excel</li> </ul>
Data Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results. Exercises and data sets to accompany this book are available at jmp.com/en_us/academic/data-mining-techniques.html

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

Business & Money

Linoff, Gordon S.

Berry, Michael J. A.

Marketing & Sales

wiley

Who will remain a loyal customer and who won't? What kind of marketing approach is most likely to increase sales? What can customer buying patterns tell us about improving our inventory control? What type of credit approval process will work best for us and our customers? The answers to these and all your crucial business questions lie buried in your company's information systems. This book supplies you with powerful tools for mining them. 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 business decisions. One of the first practical guides to mining business data, it describes techniques for detecting customer behavior patterns useful in formulating marketing, sales, and customer support strategies. While database analysts will find more than enough technical information to satisfy their curiosity, technically savvy business and marketing managers will find the coverage eminently accessible. Here's your chance to learn all about: * How leading companies across North America are using data mining to beat the competition * How each tool works, and how to pick the right one for the job * Seven powerful techniques -cluster detection, memory-based reasoning, market basket analysis, genetic algorithms, link analysis, decision trees, and neural nets * How to prepare data sources for data mining, and how to evaluate and use the results you get Data Mining Techniques shows you how to quickly and easily tap the gold mine of business solutions lying dormant in your information systems.

Data Mining Techniques: For Marketing, Sales, and Customer Support

Management & Leadership

"Berry and Linoff lead the reader down an enlightened path of best practices." -Dr. Jim Goodnight, President and Cofounder, SAS Institute Inc.   "This is a great book, and it will be in my stack of four or five essential resources for my professional work." -Ralph Kimball, Author of The Data Warehouse Lifecycle Toolkit   Mastering Data Mining   In this follow-up to their successful first book, Data Mining Techniques, Michael J. A. Berry and Gordon S. Linoff offer a case study-based guide to best practices in commercial data mining. Their first book acquainted you with the new generation of data mining tools and techniques and showed you how to use them to make better business decisions. Mastering Data Mining shifts the focus from understanding data mining techniques to achieving business results, placing particular emphasis on customer relationship management.   In this book, you'll learn how to apply data mining techniques to solve practical business problems. After providing the fundamental principles of data mining and customer relationship management, Berry and Linoff share the lessons they have learned through a series of warts-and-all case studies drawn from their experience in a variety of industries, including e-commerce, banking, cataloging, retailing, and telecommunications.   Through the cases, you will learn how to formulate the business problem, analyze the data, evaluate the results, and utilize this information for similar business problems in different industries.   Berry and Linoff show you how to use data mining to:Retain customer loyaltyTarget the right prospectsIdentify new markets for products and servicesRecognize cross-selling opportunities on and off the Web   The companion Web site at http://www.data-miners.com features:Updated information on data mining products and service providersInformation on data mining conferences, courses, and other sources of informationFull-color versions of the illustrations used in the book.

Mastering Data Mining MS with Data Mining Set

Computers & Technology

Databases & Big Data

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Books by Berry, Michael J. A.