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Titlebook: New Frontiers in Mining Complex Patterns; First International Annalisa Appice,Michelangelo Ceci,Zbigniew W. Ras Conference proceedings 201

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發(fā)表于 2025-3-21 19:11:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱New Frontiers in Mining Complex Patterns
副標(biāo)題First International
編輯Annalisa Appice,Michelangelo Ceci,Zbigniew W. Ras
視頻videohttp://file.papertrans.cn/666/665283/665283.mp4
概述High quality selected papers.Unique visibility
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: New Frontiers in Mining Complex Patterns; First International  Annalisa Appice,Michelangelo Ceci,Zbigniew W. Ras Conference proceedings 201
描述This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2012, held in conjunction with ECML/PKDD 2012, in Bristol, UK, in September 2012. .The 15 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on mining rich (relational) datasets, mining complex patterns from miscellaneous data, mining complex patterns from trajectory and sequence data, and mining complex patterns from graphs and networks.
出版日期Conference proceedings 2013
關(guān)鍵詞data mining; feature selection; log mining; probabilistic graphs; social web
版次1
doihttps://doi.org/10.1007/978-3-642-37382-4
isbn_softcover978-3-642-37381-7
isbn_ebook978-3-642-37382-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2013
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發(fā)表于 2025-3-21 20:52:12 | 只看該作者
New Frontiers in Mining Complex Patterns978-3-642-37382-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
板凳
發(fā)表于 2025-3-22 02:29:46 | 只看該作者
Annalisa Appice,Michelangelo Ceci,Zbigniew W. RasHigh quality selected papers.Unique visibility
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發(fā)表于 2025-3-22 07:44:46 | 只看該作者
5#
發(fā)表于 2025-3-22 09:58:58 | 只看該作者
https://doi.org/10.1007/978-3-642-37382-4data mining; feature selection; log mining; probabilistic graphs; social web
6#
發(fā)表于 2025-3-22 13:11:49 | 只看該作者
Erratum: Machine Learning as an Objective Approach to Understanding MusicThe paper starting on page 64 of this publication has been withdrawn because Figure 1 is incorrect and it is unclear if the paper’s results can be reproduced.
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發(fā)表于 2025-3-22 20:47:45 | 只看該作者
ntitative graph measures...Structural Analysis of Complex Networks. is suitable for a broad, interdisciplinary readership of researchers, practitioners, and graduate students in discrete mathematics, statistics978-0-8176-4789-6
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發(fā)表于 2025-3-23 00:43:14 | 只看該作者
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發(fā)表于 2025-3-23 02:29:29 | 只看該作者
Fabio Leuzzi,Stefano Ferilli,Fulvio Rotellantitative graph measures...Structural Analysis of Complex Networks. is suitable for a broad, interdisciplinary readership of researchers, practitioners, and graduate students in discrete mathematics, statistics978-0-8176-4789-6
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發(fā)表于 2025-3-23 06:21:50 | 只看該作者
Corrado Loglisci,Michelangelo Ceci,Donato Malerbantitative graph measures...Structural Analysis of Complex Networks. is suitable for a broad, interdisciplinary readership of researchers, practitioners, and graduate students in discrete mathematics, statistics978-0-8176-4789-6
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