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Advances in knowledge discovery and data mining : 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings. Part I 資料のプレビュー
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Advances in knowledge discovery and data mining : 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings. Part I

著者: Vincent S Tseng
出版: Cham : Springer, 2014.
シリーズ: Lecture notes in computer science., Lecture notes in artificial intelligence ;, 8443.; LNCS sublibrary., SL 7,, Artificial intelligence.
エディション/フォーマット:   電子書籍 : Document : Conference publication : Englishすべてのエディションとフォーマットを見る
データベース:WorldCat
概要:
The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social  続きを読む
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ジャンル/形式: Electronic books
Conference papers and proceedings
Ebook
Congresses
その他のフォーマット: Printed edition:
資料の種類: Conference publication, Document, インターネット資料
ドキュメントの種類: インターネットリソース, コンピューターファイル
すべての著者/寄与者: Vincent S Tseng
ISBN: 9783319066080 3319066080 3319066072 9783319066073
OCLC No.: 880138330
注記: International conference proceedings.
Includes author index.
物理形態: 1 online resource (xxx, 622 pages) : illustrations.
コンテンツ: Pattern mining --
Social network and social media --
Classification --
Graph and network mining --
Applications --
Privacy preserving.
シリーズタイトル: Lecture notes in computer science., Lecture notes in artificial intelligence ;, 8443.; LNCS sublibrary., SL 7,, Artificial intelligence.
その他のタイトル: PAKDD 2014
責任者: Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen, Hung-Yu Kao (eds.).
その他の情報:

概要:

The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.

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