The Resource Data mining techniques : for marketing, sales, and customer support, Michael J.A. Berry, Gordon Linoff

Data mining techniques : for marketing, sales, and customer support, Michael J.A. Berry, Gordon Linoff

Label
Data mining techniques : for marketing, sales, and customer support
Title
Data mining techniques
Title remainder
for marketing, sales, and customer support
Statement of responsibility
Michael J.A. Berry, Gordon Linoff
Creator
Contributor
Subject
Language
eng
Summary
"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, and 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."--Jacket
Action
committed to retain for EAST
Cataloging source
DLC
http://library.link/vocab/creatorName
Berry, Michael J. A
Illustrations
illustrations
Index
index present
LC call number
HF5415.125
LC item number
.B47 1997
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
Linoff, Gordon
http://library.link/vocab/subjectName
  • Data mining
  • Marketing
  • Business
  • Data mining
  • Marketing
  • Klantenservice
  • Exploration de données (Informatique)
  • Marketing
  • Gestion
  • Marketing
  • Gestion
  • Exploration de données.
  • Data Mining
  • Data-Warehouse-Konzept
  • Business
  • Data mining
  • Marketing
Label
Data mining techniques : for marketing, sales, and customer support, Michael J.A. Berry, Gordon Linoff
Instantiates
Publication
Bibliography note
Includes bibliographical references (p. 443-444) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 5.
  • Data Mining Methodology
  • 6.
  • Measuring the Effectiveness of Data Mining
  • 7.
  • Overview of Data Mining Techniques
  • 8.
  • Market Basket Analysis
  • 9.
  • Memory-Based Reasoning
  • 1.
  • 10.
  • Automatic Cluster Detection
  • 11.
  • Link Analysis
  • 12.
  • Decision Trees
  • 13.
  • Artificial Neural Networks
  • 14.
  • Genetic Algorithms
  • Why Data Mining?
  • 15.
  • Data Mining and the Corporate Data Warehouse
  • 16.
  • Where Does OLAP Fit In?
  • 17.
  • Choosing the Right Tool for the Job
  • 18.
  • Putting Data Mining to Work
  • 2.
  • Virtuous Cycle of Data Mining
  • 3.
  • Virtuous Cycle in Practice
  • 4.
  • What Can Data Mining Do?
Dimensions
24 cm.
Extent
x, 454 p.
Isbn
9780471179801
Isbn Type
(pbk. : alk. paper)
Lccn
97013601
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
ill.
System control number
  • (OCoLC)36755821
  • (OCoLC)ocm36755821
Label
Data mining techniques : for marketing, sales, and customer support, Michael J.A. Berry, Gordon Linoff
Publication
Bibliography note
Includes bibliographical references (p. 443-444) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 5.
  • Data Mining Methodology
  • 6.
  • Measuring the Effectiveness of Data Mining
  • 7.
  • Overview of Data Mining Techniques
  • 8.
  • Market Basket Analysis
  • 9.
  • Memory-Based Reasoning
  • 1.
  • 10.
  • Automatic Cluster Detection
  • 11.
  • Link Analysis
  • 12.
  • Decision Trees
  • 13.
  • Artificial Neural Networks
  • 14.
  • Genetic Algorithms
  • Why Data Mining?
  • 15.
  • Data Mining and the Corporate Data Warehouse
  • 16.
  • Where Does OLAP Fit In?
  • 17.
  • Choosing the Right Tool for the Job
  • 18.
  • Putting Data Mining to Work
  • 2.
  • Virtuous Cycle of Data Mining
  • 3.
  • Virtuous Cycle in Practice
  • 4.
  • What Can Data Mining Do?
Dimensions
24 cm.
Extent
x, 454 p.
Isbn
9780471179801
Isbn Type
(pbk. : alk. paper)
Lccn
97013601
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
ill.
System control number
  • (OCoLC)36755821
  • (OCoLC)ocm36755821

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