Managing and Mining Uncertain Data / Edition 1 available in Hardcover
- Pub. Date:
- Springer US
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.
Table of Contents
Preface.- Introduction.- Uncertain Data Management: Introduction.- Models for Incomplete and Probabilistic Information.- Probabilistic and Relational Models with Uncertain Data.- ULDB and the Trio System.- Indexing Uncertain Data.- Probabilistic Graphical Models.- Query Evaluation for Uncertain Data.- Clustering Uncertain Data.- Classification of Uncertain Data.- Sketching Probabilistic Data.- Uncertain Spatio-temporal Applications.- Uncertain Representations and Applications in Sensor Networks.- OLAP over Uncertain data.- Index.