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<図書>
Data mining : practical machine learning tools and techniques

責任表示 Ian H. Witten, Eibe Frank, Mark A. Hall
データ種別 図書
3rd ed
出版情報 Amsterdam ; Tokyo : Elsevier
Burlington, Mass. : Morgan Kaufmann , c2011
本文言語 英語
大きさ xxxiii, 629 p. : ill. ; 24 cm
概要 The third edition of this practical guide to machine learning and data mining is fully updated to account for technological advances since its previous printing in 2005 and is now even more closely al...gned with the use of the Weka open source machine learning, data mining and data modeling application. Beginning with an introduction to data mining, the volume explores basic inputs, outputs and algorithms, the implementation of machine learning schemes and in-depth exploration of the many uses of the Weka data analysis software. Numerous illustration, tables and equations are included throughout and additional resources are available through a companion website. Witten, Frank and Hall are academics with the department of computer science at the University of Waikato, New Zealand, the home of the Weka software project. Annotation ©2011 Book News, Inc., Portland, OR (booknews.com) 続きを見る
電子版へのリンク

所蔵情報


: pbk 理系図1F 開架 007.64/W 79 2011
031212012000255

書誌詳細

一般注記 "Morgan Kaufmann Publishers is an imprint of Elsevier"--T.p. verso
"The Morgan Kaufmann series in data management systems"--T.p. verso(CIP)
Includes bibliographical references (p. 587-605) and index
著者標目 *Witten, I. H. (Ian H.)
Frank, Eibe
Hall, Mark A.
件 名 LCSH:Data mining
分 類 LCC:QA76.9.D343
DC22:006.3/12
書誌ID 1001483957
ISBN 9780123748560
NCID BB05016847
巻冊次 : pbk ; ISBN:9780123748560
登録日 2012.08.21
更新日 2017.02.18