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Data Mining Techniques:

For Marketing, Sales, and Customer Relationship Management (Google eBook)
Front Cover
1 Review
John Wiley & Sons, Mar 23, 2011 - Computers - 888 pages
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. 

  • 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
  • Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately
  • Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more
  • Provides best practices for performing data mining using simple tools such as Excel

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

User Review  - Mahan - Goodreads

It covers almost every aspect of data mining. It is clear, precise, goes to the point, and sometimes goes into some depth. If you are a marketing person, it will give you a very refined idea of what ... Read full review

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Contents

What Is Data Mining and Why Do It?
1
Steps of the Virtuous Cycle
15
Data Mining Applications in Marketing and Customer Relationship Management
27
The Data Mining Process
67
What You Should Know About Data
101
Profiling and Predictive Modeling
151
Data Mining Using Classic Statistical Techniques
195
Decision Trees
237
Alternative Approaches to Cluster Detection
499
Market Basket Analysis and Association Rules
535
Association Analysis
547
Link Analysis
581
Data Warehousing OLAP Analytic Sandboxes and Data Mining
613
Building Customer Signatures 655
693
Too Much of a Good Thing? Techniques for Reducing the Number of Variables
735
Text Mining
775

Artificial Neural Networks
281
MemoryBased Reasoning and Collaborative Filtering
321
Measuring Distance and Similarity
335
Using Survival Analysis to Understand Customers
357
Genetic Algorithms and Swarm Intelligence
397
Pattern Discovery and Data Mining
429
Automatic Cluster Detection
459
Ad Hoc Text Mining
786
From Text to Numbers
794
Sentiment Analysis
806
Lessons Learned
819
Index
821
Copyright

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About the author (2011)

GORDON S. LINOFF and MICHAEL J. A. BERRY are the founders of Data Miners, Inc., a consultancy specializing in data mining. They have jointly authored two of the leading data mining titles in the field, Data Mining Techniques and Mastering Data Mining (both from Wiley). They each have decades of experience applying data mining techniques to business problems in marketing and customer relationship management.

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