Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
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.
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.
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LibraryThing ReviewUser Review - jamet123 - LibraryThing
Anyone interested in automating and improving decisions should have this book. It is one of the classic works on data mining and well worth the read. I really liked the book both because it is well ... Read full review
The Data Mining Process
What You Should Know About Data
Data Mining Using Classic Statistical Techniques
Alternative Approaches to Cluster Detection
Market Basket Analysis and Association Rules
Data Warehousing OLAP Analytic Sandboxes and Data Mining
Building Customer Signatures
Making the Data Mean More
Too Much of a Good Thing? Techniques for Reducing the Number of Variables
Artificial Neural Networks
Measuring Distance and Similarity
Using Survival Analysis
Genetic Algorithms and Swarm Intelligence
Automatic Cluster Detection