Data mining : (Record no. 60930)

MARC details
000 -LEADER
fixed length control field 01728nam a2200301 a 4500
001 - CONTROL NUMBER
control field vtls000056575
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251125093043.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 111205t2011 maua f 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780123748560 (pbk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0123748569 (pbk.)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201204021030
Level of effort used to assign nonsubject heading access points asmadi
-- 201112051102
-- sri
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) QA76.9.D343 W58 2011
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Witten, 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.
Place of publication, distribution, etc. Burlington, MA. :
Name of publisher, distributor, etc. Morgan Kaufmann,
Date of publication, distribution, etc. 2011
300 ## - PHYSICAL DESCRIPTION
Extent xxxiii, 629 p. :
Other physical details ill. ;
Dimensions 24 cm.
490 0# - SERIES STATEMENT
Series statement Morgan Kaufmann series in data management systems
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note 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 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 00 - ADDED ENTRY ELEMENTS (KOHA)
Koha issues (borrowed), all copies 1
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Date last checked out Copy number Cost, replacement price Price effective from Koha item type
  Not lost     UMPLIB PEKAN UMPLIB PEKAN 04/09/2019 204.68 1 QA76.9.D343 W58 2011 0000064037 03/11/2023 16/10/2023 1 204.68 04/09/2019 Open Shelf

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