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Managing and Mining Uncertain Data

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Managing and Mining Uncertain Data Synopsis

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.

About This Edition

ISBN: 9781441935175
Publication date:
Author: Charu C Aggarwal
Publisher: Springer an imprint of Springer US
Format: Paperback
Pagination: 494 pages
Series: Advances in Database Systems
Genres: Data mining
Expert systems / knowledge-based systems
Artificial intelligence
Network security
Information retrieval
Data warehousing
Databases
Computer security
Applied computing

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