Data Mining, 2nd Edition /

Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly...

Full description

Saved in:
Bibliographic Details
Main Authors: Witten, Ian (Author), Frank, Eibe (Author)
Corporate Author: O'Reilly for Higher Education (Firm)
Format: Electronic eBook
Language:English
Published: Morgan Kaufmann, 2005.
Edition:2nd edition.
Subjects:
Online Access:CONNECT

MARC

LEADER 00000cam a2200000Ma 4500
001 in00006089721
006 m o d
007 cr cn|||||||||
008 180405s2005 xx o 000 0 eng d
005 20220712181958.3
035 |a 1WRLDSHRon1103557806 
040 |a CEF  |b eng  |e pn  |c CEF  |d OCLCO  |d CNCEN  |d OCLCO  |d OCLCF  |d OCLCQ  |d OCLCO 
020 |z 9780080477022 
020 |z 9780120884070 
024 8 |a C20090048545 
024 8 |a 9780120884070 
035 |a (OCoLC)1103557806 
049 |a TXMM 
100 1 |a Witten, Ian,  |e author. 
245 1 0 |a Data Mining, 2nd Edition /  |c Witten, Ian. 
250 |a 2nd edition. 
264 1 |b Morgan Kaufmann,  |c 2005. 
300 |a 1 online resource (560 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file 
365 |b 74.95 
520 |a Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more. This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses. Algorithmic methods at the heart of successful data mining-including tried and true techniques as well as leading edge methods Performance improvement techniques that work by transforming the input or output. 
542 |f Copyright and#169: Elsevier Science and Technology  |g 2005 
550 |a Made available through: Safari, an O'Reilly Media Company. 
590 |a O'Reilly Online Learning Platform: Academic Edition (SAML SSO Access) 
650 0 |a Data mining. 
700 1 |a Frank, Eibe,  |e author. 
710 2 |a O'Reilly for Higher Education (Firm) 
730 0 |a WORLDSHARE SUB RECORDS 
856 4 0 |u https://go.oreilly.com/middle-tennessee-state-university/library/view/-/9780120884070/?ar  |z CONNECT  |3 O'Reilly  |t 0 
949 |a ho0 
994 |a 92  |b TXM 
998 |a wi  |d z 
999 f f |s 60c4c25b-d340-4113-9e70-1db6f6742d66  |i 72bf47ac-b4d3-446d-832c-650146aac656  |t 0 
952 f f |a Middle Tennessee State University  |b Main  |c James E. Walker Library  |d Electronic Resources  |t 0  |h Library of Congress classification 
856 4 0 |3 O'Reilly  |t 0  |u https://go.oreilly.com/middle-tennessee-state-university/library/view/-/9780120884070/?ar  |z CONNECT