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Who will remain a loyal customer and who wont?

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 companys 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. Heres 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, memorybased 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 - Michael J. A. Berry

9780471179801
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Title
Data mining techniques - for marketing, sales, and customer support
Author
Michael J. A. Berry
format
Paperback / softback
Publisher
John Wiley & Sons, Inc.
Language
English
UK Publication Date
19970619

Who will remain a loyal customer and who wont?

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 companys 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. Heres 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, memorybased 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.

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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.

"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)

Type
BOOK
Keyword Index
Data mining.|Marketing - Data processing.|Business - Data processing.
Country of Publication
England
Number of Pages
454

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