Overview
- 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
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Table of contents (15 chapters)
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Front Matter
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Back Matter
Keywords
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
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)