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<図書>
Feature extraction, construction and selection : a data mining perspective

責任表示 edited by Huan Liu and Hiroshi Motoda
シリーズ The Kluwer international series in engineering and computer science ; SECS 453
データ種別 図書
出版情報 Boston : Kluwer Academic , c1998
本文言語 英語
大きさ xxiv, 410 p. : ill. ; 25 cm
概要 Two dozen contributions disseminate among the data mining community a variety of methods for extracting, constructing, and selecting features from a large database. The first part includes studies of ...ackground, foundation, and general approaches. The other four parts can each stand alone; they describe selecting subsets, extracting features, constructing features, and combined approaches. Among the specific topics are the wrapper approach, selecting features by the vertical compactness of data, lexical contextual relations for the unsupervised discovery of texts features, constructing different types of new features for decision-tree learning, transforming features by decomposing functions, and feature selection based on an interactive genetic algorithm and its application to marketing data analysis. Annotation copyrighted by Book News, Inc., Portland, OR続きを見る

所蔵情報



理系図1F 開架 007.609/L 73 1998
026211998002698

書誌詳細

一般注記 Includes bibliographical references and index
著者標目 Liu, Huan
元田, 浩 <モトダ, ヒロシ>
件 名 LCSH:Database management
LCSH:Data mining
分 類 LCC:QA76.9.D3
DC21:006.3
書誌ID 1001210060
ISBN 0792381963
NCID BA3746297X
巻冊次 ISBN:0792381963
登録日 2009.09.18
更新日 2009.09.18

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