书目名称 | Managing and Mining Uncertain Data | 编辑 | Charu C. Aggarwal | 视频video | | 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 | 丛书名称 | Advances in Database Systems | 图书封面 |  | 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 | 关键词 | 2009titlesSusan; Aggarwal; Clustering; Data; Managing; Mining; Uncertain; classification; currentsmp; data mi | 版次 | 1 | doi | https://doi.org/10.1007/978-0-387-09690-2 | isbn_softcover | 978-1-4419-3517-5 | isbn_ebook | 978-0-387-09690-2Series ISSN 1386-2944 | issn_series | 1386-2944 | copyright | Springer-Verlag US 2009 |
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