An edition of Data mining techniques (2004)

Data mining techniques

for marketing, sales, and customer relationship management

2nd ed
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Last edited by ImportBot
December 19, 2023 | History
An edition of Data mining techniques (2004)

Data mining techniques

for marketing, sales, and customer relationship management

2nd ed
  • 1 Want to read
  • 1 Have read

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

Publish Date
Publisher
Wiley Pub., Wiley
Language
English
Pages
643

Buy this book

Previews available in: English

Edition Availability
Cover of: Data Mining Techniques
Data Mining Techniques
2004, John Wiley & Sons, Ltd.
Electronic resource in English
Cover of: Data mining techniques
Data mining techniques: for marketing, sales, and customer relationship management
2004, Wiley Pub., Wiley
in English - 2nd ed

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Book Details


Table of Contents

Why and what is data mining?
The virtuous cycle of data mining
Data mining methodology and best practices
Data mining applications in marketing and customer relationship management
The lure of statistics: data mining using familiar tools
Decision trees
Artificial neural networks
Nearest neighbor approaches : memory-based reasoning and collaborative filtering
Market basket analysis and association rules
Link analysis
Automatic Cluster detection
Knowing when to worry: hazard functions and survival analysis in marketing
Genetic algorithms
Data mining throughout the customer life cycle
Data warehousing, OLAP, and data mining
Building the data mining environment
Preparing data for mining
Putting data mining to work

Edition Notes

Includes index

Published in
Indianapolis, Ind

Classifications

Library of Congress
HF5415.125 .B47 2004, HF5415.125.B47 2004

The Physical Object

Pagination
xxv, 643 p. :
Number of pages
643

ID Numbers

Open Library
OL17145987M
Internet Archive
dataminingtechni02ndberr
ISBN 10
0471470643
LCCN
2003026693
OCLC/WorldCat
53896596
Library Thing
294078
Goodreads
626461

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
December 19, 2023 Edited by ImportBot import existing book
March 8, 2023 Edited by MARC Bot import existing book
October 18, 2022 Edited by ImportBot import existing book
December 8, 2020 Edited by MARC Bot import existing book
September 27, 2008 Created by ImportBot Imported from Miami University of Ohio MARC record