Data mining : (Record no. 22877)

MARC details
000 -LEADER
fixed length control field 01992cam a22003494a 4500
001 - CONTROL NUMBER
control field 16490354
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220912143540.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 101005s2011 maua 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 0123748569 (pbk.)
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)ocn262433473
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Transcribing agency DLC
Modifying agency YDX
-- BTCTA
-- YDXCP
-- BWX
-- DEBSZ
-- CDX
-- IUL
-- DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.
Item number WIT 2011
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/12
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Witten, I. H.
Fuller form of name (Ian H.)
245 10 - TITLE STATEMENT
Title Data mining :
Remainder of title practical machine learning tools and techniques /
Statement of responsibility, etc. 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. Burlington, MA :
Name of publisher, distributor, etc. Morgan Kaufmann,
Date of publication, distribution, etc. c2011.
300 ## - PHYSICAL DESCRIPTION
Extent xxxiii, 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.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Morgan Kaufmann series in data management systems.
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c orignew
d 1
e ecip
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books in General collection
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Mzuzu University Library and Learning Resources Centre Mzuzu University Library and Learning Resources Centre 04/08/2022   QA 75.9 WIT 2011 mZulm-030910 04/08/2022 030910 04/08/2022 Books in General collection
    Library of Congress Classification     Mzuzu University Library and Learning Resources Centre Mzuzu University Library and Learning Resources Centre 04/08/2022   QA 75.9 WIT 2011 mZulm-030909 04/08/2022 030909 04/08/2022 Books in General collection

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