000 -LEADER |
fixed length control field |
02338nam a22003135a 4500 |
FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
110127s2011 inu 000 0 eng |
LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2011921769 |
INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780470650936 (pbk : alk. paper) |
INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
0470650931 (pbk : alk. paper) |
CATALOGING SOURCE |
Original cataloging agency |
DLC |
Transcribing agency |
DLC |
AUTHENTICATION CODE |
Authentication code |
pcc |
SYSTEM CONTROL NUMBER |
System control number |
16627057 |
DATE AND TIME OF LATEST TRANSACTION |
control field |
20170126095548.0 |
CONTROL NUMBER |
control field |
35821 |
CONTROL NUMBER IDENTIFIER |
control field |
UOWD |
MAIN ENTRY--PERSONAL NAME |
Personal name |
Linoff, Gordon S. |
TITLE STATEMENT |
Title |
Data mining techniques, third edition : |
Remainder of title |
for marketing, sales, and customer relationship management / |
Statement of responsibility, etc |
Gordon S Linoff, Michael J Berry |
EDITION STATEMENT |
Edition statement |
3rd ed. |
PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Indianapolis, IN : |
Name of publisher, distributor, etc |
Wiley Pubishing, Inc., |
Date of publication, distribution, etc |
2011. |
PROJECTED PUBLICATION DATE |
Projected publication date |
1103 |
PHYSICAL DESCRIPTION |
Extent |
xl, 847 p. : |
Other physical details |
ill. ; |
Dimensions |
24 cm. |
FORMATTED CONTENTS NOTE |
Formatted contents note |
What is data mining and why do it? -- Data mining applications in marketing and customer relationship management -- The data mining process -- Statistics 101: what you should know about data -- Descriptions and prediction: profiling and predictive modeling -- Data mining using classic statistical techniques -- Decision trees -- Artificial neural networks -- Nearest neighbor approaches: memory-based reasoning and collaborative filtering -- Knowing when to worry: using survival analysis to understand customers -- Genetic algorithms and swarm intelligence -- Tell me something new: pattern discovery and data mining -- Finding islands of similarity: automatic cluster detection -- Alternative approaches to cluster detection -- Market basket analysis and association rules -- Link analysis -- Data warehousing, OLAP, analytic sandboxes, and data mining -- Building customer signatures -- Derived variables: making the data mean more -- Too much of a good thing? Techniques for reducing the number of variables -- Listen carefully to what your customers say: text mining. |
SUMMARY, ETC. |
Summary, etc |
The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. |
SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Data mining |
Source of heading or term |
sears |
SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Business |
General subdivision |
Data processing |
Source of heading or term |
sears |
SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Marketing |
General subdivision |
Data processing |
Source of heading or term |
sears |
ADDED ENTRY--PERSONAL NAME |
Personal name |
Berry, Michael J. A. |
ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
REGULAR |