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Data Mining Techniques Michael J. A. Berry

Data Mining Techniques By Michael J. A. Berry

Data Mining Techniques by Michael J. A. Berry


$26.49
Condition - Very Good
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Summary

Shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems.

Data Mining Techniques Summary

Data Mining Techniques: for Marketing, Sales and Customer Relationship Management by Michael J. A. Berry

Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining Covers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis

About Michael J. A. Berry

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

Table of Contents

Acknowledgments.About the Authors.Introduction.Chapter 1: Why and What Is Data Mining?Chapter 2: The Virtuous Cycle of Data Mining.Chapter 3: Data Mining Methodology and Best Practices.Chapter 4: Data Mining Applications in Marketing and Customer Relationship Management.Chapter 5: The Lure of Statistics: Data Mining Using Familiar Tools.Chapter 6: Decision Trees.Chapter 7: Artificial Neural Networks.Chapter 8: Nearest Neighbor Approaches: Memory-Based Reasoning and Collaborative Filtering.Chapter 9: Market Basket Analysis and Association Rules.Chapter 10: Link Analysis.Chapter 11: Automatic Cluster Detection.Chapter 12: Knowing When to Worry: Hazard Functions and Survival Analysis in Marketing.Chapter 13: Genetic Algorithms.Chapter 14: Data Mining throughout the Customer Life Cycle.Chapter 15: Data Warehousing, OLAP, and Data Mining.Chapter 16: Building the Data Mining Environment.Chapter 17: Preparing Data for Mining.Chapter 18: Putting Data Mining to Work.Index.

Additional information

GOR002964085
9780471470649
0471470643
Data Mining Techniques: for Marketing, Sales and Customer Relationship Management by Michael J. A. Berry
Used - Very Good
Paperback
John Wiley and Sons Ltd
20040409
672
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

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