Data Mining with Decision Trees (Record no. 15865)

MARC details
000 -LEADER
fixed length control field 02090nam a2200289Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251224095833.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220909b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789814590075
037 ## - SOURCE OF ACQUISITION
Terms of availability Textual
040 ## - CATALOGING SOURCE
Original cataloging agency CSL
Language of cataloging eng
Transcribing agency CSL
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
084 ## - COLON CLASSIFICATION NUMBER
Classification number D65,8(B),27, Q5
Assigning agency CSL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Rokach, Lior
Relator term author.
9 (RLIN) 859168
245 #0 - TITLE STATEMENT
Title Data Mining with Decision Trees
Remainder of title : Theory and Applicatios
250 ## - EDITION STATEMENT
Edition statement 2nd
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Singapore:
Name of publisher, distributor, etc. World Scientifc,
Date of publication, distribution, etc. 2015.
300 ## - PHYSICAL DESCRIPTION
Extent xxi, 305p.
Other physical details : ill.
500 ## - GENERAL NOTE
General note Bibliography 273-302p.; Index 303-305p.
520 ## - SUMMARY, ETC.
Summary, etc. Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced.This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new edition, all chapters have been revised and new topics brought in. New topics include Cost-Sensitive Active Learning, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification Tasks, Privacy Preserving Decision Tree Learning, Lessons Learned from Comparative Studies, and Learning Decision Trees for Big Data. A walk-through guide to existing open-source data mining software is also included in this edition.This book invites readers to explore the many benefits in data mining that decision trees offer:
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Fuzzy decision trees
9 (RLIN) 859169
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Pruning trees
9 (RLIN) 859170
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Training decision trees
9 (RLIN) 859171
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Maimon, Oded
Relator term author.
9 (RLIN) 859172
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Classification part D65,8(B),27, Q5
Koha item type Textual
Source of classification or shelving scheme Colon Classification (CC)
Edition 2nd
Suppress in OPAC No
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        Central Science Library Central Science Library 2022-09-12 2950, 18/03/2015, Ashutosh Technical Books   D65,8(B),27 Q5 SL1598369 2022-09-12 2022-09-12 Textual
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