Managing and Mining Uncertain Data

• Corporate Author: SpringerLink (Online service)
• Other Authors: Aggarwal, Charu C. (Editor)
• Format: Electronic
• Language: English
• Published: Boston, MA : Springer US, 2009.
• Series: Advances in Database Systems, 35
• Subjects: Computer science.; Data protection.; Database management.; Data mining.; Information storage and retrieval systems.; Information systems.; Artificial intelligence.; Computer Science.; Data Mining and Knowledge Discovery.; Database Management.; Artificial Intelligence (incl. Robotics).; Information Storage and Retrieval.; Systems and Data Security.; Information Systems Applications (incl.Internet).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-09690-2

Managing and Mining Uncertain Data contains surveys by well known researchers in the field of uncertain databases. The book presents the most recent models, algorithms, and applications in the uncertain data field in a structured and concise way. This book is organized so as to cover the most import...

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.