Data mining techniques : (Record no. 3425)

000 -LEADER
fixed length control field 03151cam a2200397 a 4500
001 - CONTROL NUMBER
EWU control number 3425
003 - CONTROL NUMBER IDENTIFIER
control field BD-DhEWU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20180131155232.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 030930s1997 nyua g b 001 0 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 97013601
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0471179809 (pbk. : alk. paper)
International Standard Book Number 9780471179801
035 ## - SYSTEM CONTROL NUMBER
OCLC control number (OCoLC)36755821
-- (BD-DhEWU)3425
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Transcribing agency DLC
Modifying agency DLC
-- BD-DhEWU
Language of cataloging eng
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HF5415.125
Item number .B47 1997
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.7
Author mark and Year BED 1997
DDC edition 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Berry, Michael J. A.
9 (RLIN) 3065
245 10 - TITLE STATEMENT
Title Data mining techniques :
Remainder of title for marketing, sales, and customer support /
Statement of responsibility, etc Michael J.A. Berry and Gordon Linoff.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc New York :
Name of publisher, distributor, etc Wiley,
Date of publication, distribution, etc c1997.
300 ## - PHYSICAL DESCRIPTION
Extent x, 454 p. :
Other physical details ill. ;
Dimensions 24 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references (p. 443-444) and index.
505 ## - FORMATTED CONTENTS NOTE
Contents note 1. Why Data Mining? --<br/>2. Virtuous Cycle of Data Mining --<br/>3. Virtuous Cycle in Practice --<br/>4. What Can Data Mining Do? --<br/>5. Data Mining Methodology --<br/>6. Measuring the Effectiveness of Data Mining --<br/>7. Overview of Data Mining Techniques --<br/>8. Market Basket Analysis --<br/>9. Memory-Based Reasoning --<br/>10. Automatic Cluster Detection --<br/>11. Link Analysis --<br/>12. Decision Trees --<br/>13. Artificial Neural Networks --<br/>14. Genetic Algorithms --<br/>15. Data Mining and the Corporate Data Warehouse --<br/>16. Where Does OLAP Fit In? --<br/>17. Choosing the Right Tool for the Job --<br/>18. Putting Data Mining to Work.
520 ## - SUMMARY, ETC.
Summary, etc "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.
526 ## - STUDY PROGRAM INFORMATION NOTE
Program name Computer Science & Engineering
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name Data mining.
9 (RLIN) 3066
Topical term or geographic name Marketing
General subdivision Data processing.
9 (RLIN) 3067
Topical term or geographic name Business
General subdivision Data processing.
9 (RLIN) 1155
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Linoff, Gordon.
9 (RLIN) 3068
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials Specified WorldCat Details
Uniform Resource Identifier http://www.worldcat.org/title/data-mining-techniques-for-marketing-sales-and-customer-support/oclc/36755821&referer=brief_results
Materials Specified Ebook Fulltext
Uniform Resource Identifier http://lib.ewubd.edu/ebook/3425
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Text
Koha issues (borrowed), all copies 1
Holdings
Lost status Source of classification or shelving scheme Not for loan Collection code Permanent Location Current Location Shelving location Date of accession Source of acquisition Cost, normal purchase price Full call number Barcode Copy number Koha item type Total Checkouts Date last seen Date checked out Price effective from
    Not For Loan Non-fiction EWU Library EWU Library Reserve Section 2003-09-30 Karim International 3846.50 005.7 BED 1997 12904 C-1 Text        
      Non-fiction EWU Library EWU Library Circulation Section 2003-09-30 Karim International 3846.50 005.7 BED 1997 12906 C-3 Text 1 2015-12-13 2015-12-10  
      Non-fiction EWU Library EWU Library Circulation Section 2003-09-30 Karim International 3846.50 005.7 BED 1997 12905 C-2 Text 1 2012-12-22 2012-07-02  
      Non-fiction EWU Library EWU Library E-book 2018-01-31     005.7 BED 1997     E-Book   2018-01-31   2018-01-31

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