Overview
- Introduces the trend cluster, a recently defined spatio-temporal pattern, and its use in summarizing, interpolating and identifying anomalies in sensor networks
- Illustrates the application of trend cluster discovery to monitor the efficiency of photovoltaic power plants
- Discusses new possibilities for surveillance enabled by recent developments in sensing technology
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents(5 chapters)
About this book
Authors and Affiliations
-
Dipartimento di Informatica, Università degli Studi di Bari "Aldo Moro", Italy
Annalisa Appice, Anna Ciampi, Fabio Fumarola, Donato Malerba
Bibliographic Information
Book Title: Data Mining Techniques in Sensor Networks
Book Subtitle: Summarization, Interpolation and Surveillance
Authors: Annalisa Appice, Anna Ciampi, Fabio Fumarola, Donato Malerba
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-1-4471-5454-9
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2014
Softcover ISBN: 978-1-4471-5453-2Published: 27 September 2013
eBook ISBN: 978-1-4471-5454-9Published: 12 September 2013
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: XIII, 105
Number of Illustrations: 2 b/w illustrations, 37 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Computer Communication Networks