Decomposition methodology for knowledge discovery and data mining (Record no. 72547)

000 -LEADER
fixed length control field 02565nmm a2200373 a 4500
001 - CONTROL NUMBER
control field 00005686
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220711214129.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 181123s2005 si a ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789812703620
-- (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- (hbk.)
082 04 - CLASSIFICATION NUMBER
Call Number 518
100 1# - AUTHOR NAME
Author Maimon, Oded.
245 10 - TITLE STATEMENT
Title Decomposition methodology for knowledge discovery and data mining
Sub Title theory and applications /
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Singapore :
Publisher World Scientific Publishing Co. Pte Ltd.,
Year of publication ©2005.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (344 p.) :
490 0# - SERIES STATEMENT
Series statement Series in machine perception and artificial intelligence ;
520 ## - SUMMARY, ETC.
Summary, etc "Data Mining is the science and technology of exploring data in order to discover previously unknown patterns. It is a part of the overall process of Knowledge Discovery in Databases (KDD). The accessibility and abundance of information today makes data mining a matter of considerable importance and necessity. This book provides an introduction to the field with an emphasis on advanced decomposition methods in general data mining tasks and for classification tasks in particular. The book presents a complete methodology for decomposing classification problems into smaller and more manageable sub-problems that are solvable by using existing tools. The various elements are then joined together to solve the initial problem. The benefits of decomposition methodology in data mining include: increased performance (classification accuracy); conceptual simplification of the problem; enhanced feasibility for huge databases; clearer and more comprehensible results; reduced runtime by solving smaller problems and by using parallel/distributed computation; and the opportunity of using different techniques for individual sub-problems."--Publisher's website.
700 1# - AUTHOR 2
Author 2 Rokach, Lior.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.worldscientific.com/worldscibooks/10.1142/5686#t=toc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
588 ## -
-- Title from web page (viewed November 23, 2018).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Decomposition method.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electronic books.

No items available.