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.
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