| Managing and Mining Uncertain Data Edition. 2nd Pr Edition Contributor(s): Aggarwal, Charu C. (Editor) |
|
 |
ISBN: 0387096892 ISBN-13: 9780387096896 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: February 2009 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Computers | Databases - Data Mining - Computers | Databases - General - Computers | Intelligence (ai) & Semantics |
| Dewey: 006.312 |
| LCCN: 81018272 |
| Series: Advances in Database Systems |
| Physical Information: 1.1" H x 6" W x 9.3" (1.85 lbs) 494 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |