Data mining : (Record no. 3116)

MARC details
000 -LEADER
fixed length control field 01581cam a22002894a 4500
001 - CONTROL NUMBER
control field 16490354
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140227121553.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 101005s20132011ii a g b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2010039827
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780123748560 (pbk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789380501864 (pbk.)
040 ## - CATALOGING SOURCE
Transcribing agency NCL
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Item number WIT-D 2013 4451
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Witten, I. H.
Fuller form of name (Ian H.)
245 1# - TITLE STATEMENT
Title Data mining :
Remainder of title practical machine learning tools and techniques /
Statement of responsibility, etc. by Ian H. Witten, Eibe Frank, Mark A. Hall.
250 ## - EDITION STATEMENT
Edition statement 3rd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. New Delhi :
Name of publisher, distributor, etc. Elsevier,
Date of publication, distribution, etc. 2013.
300 ## - PHYSICAL DESCRIPTION
Extent v, 629 p. :
Other physical details ill. ;
Dimensions 24 cm.
490 1# - SERIES STATEMENT
Series statement [Morgan Kaufmann series in data management systems]
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references (p. 587-605) and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Part I. Machine Learning Tools and Techniques: 1. What's iIt all about?; 2. Input: concepts, instances, and attributes; 3. Output: knowledge representation; 4. Algorithms: the basic methods; 5. Credibility: evaluating what's been learned -- Part II. Advanced Data Mining: 6. Implementations: real machine learning schemes; 7. Data transformation; 8. Ensemble learning; 9. Moving on: applications and beyond -- Part III. The Weka Data MiningWorkbench: 10. Introduction to Weka; 11. The explorer -- 12. The knowledge flow interface; 13. The experimenter; 14 The command-line interface; 15. Embedded machine learning; 16. Writing new learning schemes; 17. Tutorial exercises for the weka explorer.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Frank, Eibe.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hall, Mark A.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Inventory number Total Checkouts Total Renewals Full call number Barcode Date last seen Date checked out Price effective from Koha item type
          Namal Library Namal Library Computer Science 01/30/2014 Allied Book Company 974.00 Bill no. 1538 3 2 006.3 WIT-D 2013 4451 0004451 09/07/2018 08/06/2016 01/30/2014 Books