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Titlebook: Managing and Mining Uncertain Data; Charu C. Aggarwal Book 2009 Springer-Verlag US 2009 2009titlesSusan.Aggarwal.Clustering.Data.Managing.

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發(fā)表于 2025-3-21 19:27:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Managing and Mining Uncertain Data
編輯Charu C. Aggarwal
視頻videohttp://file.papertrans.cn/624/623266/623266.mp4
概述Survey information included with each chapter is unique in terms of introducing the different topics more comprehensively.Includes case studies based on real-world examples
叢書(shū)名稱Advances in Database Systems
圖書(shū)封面Titlebook: Managing and Mining Uncertain Data;  Charu C. Aggarwal Book 2009 Springer-Verlag US 2009 2009titlesSusan.Aggarwal.Clustering.Data.Managing.
描述.Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in the uncertain data mining field in a structured and concise way. This book is organized to make it more accessible to applications-driven practitioners for solving real problems. Also, given the lack of structurally organized information on this topic, Managing and Mining Uncertain Data provides insights which are not easily accessible elsewhere. Managing and Mining Uncertain Data is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a reference book for advanced-level students in computer science and engineering, as well as the ACM, IEEE, SIAM, INFORMS and AAAI Society groups..
出版日期Book 2009
關(guān)鍵詞2009titlesSusan; Aggarwal; Clustering; Data; Managing; Mining; Uncertain; classification; currentsmp; data mi
版次1
doihttps://doi.org/10.1007/978-0-387-09690-2
isbn_softcover978-1-4419-3517-5
isbn_ebook978-0-387-09690-2Series ISSN 1386-2944
issn_series 1386-2944
copyrightSpringer-Verlag US 2009
The information of publication is updating

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1386-2944 ies based on real-world examples.Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in the uncertain data mining field in a structured and concise way. This book is
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Book 2009onal audience composed of researchers and practitioners in industry. This book is also suitable as a reference book for advanced-level students in computer science and engineering, as well as the ACM, IEEE, SIAM, INFORMS and AAAI Society groups..
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Charu C. AggarwalSurvey information included with each chapter is unique in terms of introducing the different topics more comprehensively.Includes case studies based on real-world examples
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Managing and Mining Uncertain Data978-0-387-09690-2Series ISSN 1386-2944
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