Intelligent Techniques for Warehousing and Mining Sensor Network Data, 1st Edition

  • Published By:
  • ISBN-10: 1605663298
  • ISBN-13: 9781605663296
  • DDC: 681.2
  • Grade Level Range: College Freshman - College Senior
  • 398 Pages | eBook
  • Original Copyright 2009 | Published/Released June 2010
  • This publication's content originally published in print form: 2009

  • Price:  Sign in for price



Sensor network data management poses new challenges outside the scope of conventional systems where data is represented and regulated. 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.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Editorial Advisory Board.
List of Reviewers.
Table of Contents.
Detailed Table of Contents.
1: Warehousing and OLAPing Sensor Network Data.
2: Integrated Intelligence: Separating the Wheat from the Chaff in Sensor Data.
3: Improving OLAP Analysis of Multidimensional Data Streams via Efficient Compression Techniques.
4: Warehousing RFID and Location-Based Sensor Data.
5: Warehousing and Mining Streams of Mobile Object Observations.
6: Mining Sensor Network Data.
7: Anomaly Detection in Streaming Sensor Data.
8: Knowledge Discovery for Sensor Network Comprehension.
9: Why General Outlier Detection Techniques Do Not Suffice for Wireless Sensor Networks.
10: Clustering Sensor Network Data.
11: Intelligent Acquisition Techniques for Sensor Network Data.
12: Peer-to-Peer Data Clustering in Self-Organizing Sensor Networks.
13: Query Languages and Query Optimization Techniques for Warehousing and Mining Sensor Network Data.
14: Intelligent Querying Techniques for Sensor Data Fusion.
15: Query Optimisation for Data Mining in Peer-to-Peer Sensor Networks.
16: Intelligent Techniques for Efficient Sensor Network Data Warehousing and Mining.
17: Geographic Routing of Sensor Data around Voids and Obstacles.
18: Sensor Field Resource Management for Sensor Network Data Mining.
19: Intelligent Techniques for Advanced Sensor Network Data Warehousing and Mining.
20: Event/Stream Processing for Advanced Applications1.
21: A Survey of Dynamic Key Management Schemes in Sensor Networks.
Compilation of References.
About the Contributors.