Editors:
- Structured as a set of survey chapters, the book provides easy access to the material from a vast area in one place
- Cross-disciplinary approach with topics related to both data-centric and sensor-centric aspects
- Topics include: Stream Management Systems, Event Processing in Sensor Streams, Multimedia Sensor Mining, Social Sensing, Sensing for Mobile Objects
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (15 chapters)
-
Front Matter
-
Back Matter
About this book
Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. In particular sensor notes have become cheaper and more efficient, and have even been integrated into day-to-day devices of use, such as mobile phones. This has lead to a much larger scale of applicability and mining of sensor data sets. The human-centric aspect of sensor data has created tremendous opportunities in integrating social aspects of sensor data collection into the mining process.
Managing and Mining Sensor Data is a contributed volume by prominent leaders in this field, targeting advanced-level students in computer science as a secondary text book or reference. Practitioners and researchers working in this field will also find this book useful.
Reviews
From the reviews:
“In this excellent book, editor Charu C. Aggarwal offers a comprehensive overview of the management and mining of sensor data. The book succeeds in delivering a good balance of breadth versus depth, making it useful for graduate students, researchers, and practitioners … . this book serves as a compact yet authoritative compendium of methods for sensor data collection and mining, with a good balance between theory and practice. I definitely recommend it to anyone who has an interest in sensor network applications.” (Alessandro Berni, Computing Reviews, August, 2013)Editors and Affiliations
-
IBM T.J. Watson Research Center, Yorktown Heights, USA
Charu C. Aggarwal
Bibliographic Information
Book Title: Managing and Mining Sensor Data
Editors: Charu C. Aggarwal
DOI: https://doi.org/10.1007/978-1-4614-6309-2
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-6308-5Published: 15 January 2013
Softcover ISBN: 978-1-4899-9238-3Published: 26 June 2015
eBook ISBN: 978-1-4614-6309-2Published: 15 January 2013
Edition Number: 1
Number of Pages: XIV, 534
Topics: Data Mining and Knowledge Discovery, Database Management, Information Storage and Retrieval, Computer Communication Networks, Information Systems Applications (incl. Internet)