Data mining : (Record no. 8244)

MARC details
000 -LEADER
fixed length control field 02024cam a22003494a 4500
001 - CONTROL NUMBER
control field 16490354
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230319005621.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 101005s2011 maua b 001 0 eng
010 ## -
-- 2010039827
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780123748560 (pbk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0123748569 (pbk.)
035 ## -
-- (OCoLC)ocn262433473
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Transcribing agency DLC
Modifying agency YDX
-- BTCTA
-- YDXCP
-- BWX
-- DEBSZ
-- CDX
-- IUL
-- DLC
042 ## -
-- pcc
050 00 -
-- QA76.9.D343
-- W58 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.)
9 (RLIN) 613
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# -
-- [Morgan Kaufmann series in data management systems]
504 ## -
-- Includes bibliographical references (p. 587-605) and index.
505 0# -
-- 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 -
-- Data mining.
-- 548
700 1# -
-- Frank, Eibe.
-- 614
700 1# -
-- Hall, Mark A.
-- 615
830 #0 -
-- Morgan Kaufmann series in data management systems.
-- 616
906 ## -
-- 7
-- cbc
-- orignew
-- 1
-- ecip
-- 20
-- y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Book
955 ## -
-- xh00 2010-10-05
-- xh07 2010-10-05 ONIX awaiting for author/edition info.
-- xh07 2010-10-08 to Dewey
-- xe14 2011-04-20 2 copies rec'd., to CIP ver.

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