Data Mining Techniques for Marketing, Sales, and Customer Support
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More About This Title Data Mining Techniques for Marketing, Sales, and Customer Support
English
MICHAEL J. A. BERRY and GORDON LINOFF are principals at MRJ Technology Solutions, a Pennsylvania-based firm specializing in data warehousing and data mining for business applications. They also conduct seminars on data mining for Fortune 100 companies.
English
Why Data Mining?
The Virtuous Cycle of Data Mining.
The Virtuous Cycle in Practice.
What Can Data Mining Do?
Data Mining Methodology.
Measuring the Effectiveness of Data Mining.
Overview of Data Mining Techniques.
Market Basket Analysis.
Memory-Based Reasoning.
Automatic Cluster Detection.
Link Analysis.
Decision Trees.
Artificial Neural Networks.
Genetic Algorithms.
Data Mining and the Corporate Data Warehouse.
Where Does OLAP Fit In?
Choosing the Right Tool for the Job.
Putting Data Mining to Work.
Recommended Reading.
Index.
The Virtuous Cycle of Data Mining.
The Virtuous Cycle in Practice.
What Can Data Mining Do?
Data Mining Methodology.
Measuring the Effectiveness of Data Mining.
Overview of Data Mining Techniques.
Market Basket Analysis.
Memory-Based Reasoning.
Automatic Cluster Detection.
Link Analysis.
Decision Trees.
Artificial Neural Networks.
Genetic Algorithms.
Data Mining and the Corporate Data Warehouse.
Where Does OLAP Fit In?
Choosing the Right Tool for the Job.
Putting Data Mining to Work.
Recommended Reading.
Index.
English
"The book 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. This guide 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 this book accessible." (Fathbrain.com; Ganthead.com, 9/01)
