Intelligent Techniques for Warehousing and Mining Sensor Network Data presents fundamental and theoretical issues pertaining to data management. Covering a broad range of topics on warehousing and mining sensor networks, this advanced title provides significant industry solutions to those in database, data warehousing, and data mining research communities.
Author(s): Alfredo Cuzzocrea, Alfredo Cuzzocrea
Series: Premier Reference Source
Publisher: Information Science Publishing
Year: 2009
Language: English
Pages: 425
Intelligent Techniques for Warehousing and Mining Sensor Network Data (2010) (ATTiCA)......Page 1
Title
......Page 2
List of Reviewers......Page 4
Table of Contents......Page 5
Detailed Table of Contents......Page 9
Preface......Page 18
Acknowledgment......Page 26
Integrated Intelligence: Separating the Wheat from the Chaff in Sensor Data......Page 28
Improving OLAP Analysis of Multidimensional Data Streams via Efficient Compression Techniques......Page 44
Warehousing RFID and Location-Based Sensor Data......Page 77
Warehousing and Mining Streams of Mobile Object Observations......Page 99
Anomaly Detection in Streaming Sensor Data......Page 126
Knowledge Discovery for Sensor Network Comprehension......Page 145
Why General Outlier DetectionTechniques Do Not Suffice for Wireless Sensor Networks......Page 163
Intelligent Acquisition Techniques for Sensor Network Data......Page 186
Peer-to-Peer Data Clustering in Self-Organizing Sensor Networks......Page 206
Intelligent Querying Techniques for Sensor Data Fusion......Page 240
Query Optimisation for Data Mining in Peer-to-Peer Sensor Networks......Page 261
Geographic Routing of Sensor Data around Voids and Obstacles......Page 284
Sensor Field Resource Management for Sensor Network Data Mining......Page 307
Event/Stream Processing for Advanced Applications......Page 332
A Survey of Dynamic Key Management Schemes in Sensor Networks......Page 353
Compilation of References......Page 379
About the Contributors......Page 410
Index......Page 421
