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Data Mining Techniques By Michael J. A. Berry

Data Mining Techniques

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A guide to mining business data - particularly data about customer behaviour - to help business managers create more focused marketing and sales strategies and campaigns. The authors explain how each data mining technique works and what kinds of business problems it's designed to solve.
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Data Mining Techniques Summary


Data Mining Techniques: Marketing, Sales and Customer Support by Michael J. A. Berry

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.

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Data Mining Techniques Reviews


"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." (Fathbrain.com; Ganthead.com, 9/01)

About Michael J. A. Berry


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.

Table of Contents


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.

Additional information

GOR001899972
Data Mining Techniques: Marketing, Sales and Customer Support by Michael J. A. Berry
Michael J. A. Berry
Used - Very Good
Hardback
John Wiley and Sons Ltd
1997-06-19
464
0471179809
9780471179801
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us.