Data mining techniques : (Record no. 11448)

MARC details
000 -LEADER
fixed length control field 02636nam a2200253Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field NULRC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250520100703.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250520s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780470650936
040 ## - CATALOGING SOURCE
Transcribing agency NULRC
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number HF 5415.125 .L56 2011
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Linoff, Gordon S.
Relator term author
245 #0 - TITLE STATEMENT
Title Data mining techniques :
Remainder of title for marketing, sales, and customer relationship management /
Statement of responsibility, etc. Gordon S. Linoff and Michael J. A. Berry
250 ## - EDITION STATEMENT
Edition statement Third Edition
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Indianapolis, Indiana :
Name of publisher, distributor, etc. Wiley Publishing Incorporation,
Date of publication, distribution, etc. c2011
300 ## - PHYSICAL DESCRIPTION
Extent xxxvi, 846 pages :
Other physical details illustrations ;
Dimensions 24 cm.
365 ## - TRADE PRICE
Price amount USD484.04
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1. What Is data mining and why do it? -- Chapter 2. Data mining applications in marketing and customer relationship management -- Chapter 3. The data mining process -- Chapter 4. Statistics 101: What you should know about data -- Chapter 5. Descriptions and prediction: profiling and predictive modeling -- Chapter 6. Data mining using classic statistical techniques -- Chapter 7. Decision trees -- Chapter 8. Artificial neural networks -- Chapter 9. Nearest neighbor approaches: Memory-based reasoning and collaborative filtering -- Chapter 10. Knowing when to worry: Using survival analysis to understand customers -- Chapter 11. Genetic algorithms and swarm intelligence -- Chapter 12. Tell me something new: Pattern discovery and data mining -- Chapter 13. Finding islands of similarity: Automatic cluster detection -- Chapter 14. Alternative approaches to cluster detection -- Chapter 15. Market basket analysis and association rules -- Chapter 16. Link analysis -- Chapter 17. Data warehousing, OLAP, analytic sandboxes, and data mining -- Chapter 18. Building customer signatures -- Chapter 19. Derived variables: Making the data mean more -- Chapter 20. Too much of a good thing? Techniques for reducing the number of variables -- Chapter 21. Listen carefully to what your customers say: text mining.
520 ## - 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. This new edition-more than 50% new and revised- is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element BUSINESS AND ECONOMICS
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Berry, Michael J. A.
Relator term co-author
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Gen. Ed. - CCIT LRC - Graduate Studies National University - Manila General Circulation 03/24/2015 Purchased - Amazon 484.84   GC HF 5415.125 .L56 2011 NULIB000009207 05/20/2025 c.1 05/20/2025 Books