- 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 this book
- About this book
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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
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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)
- Table of contents (15 chapters)
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An Introduction to Sensor Data Analytics
Pages 1-8
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A Survey of Model-based Sensor Data Acquisition and Management
Pages 9-50
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Query Processing in Wireless Sensor Networks
Pages 51-76
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Event Processing in Sensor Streams
Pages 77-102
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Dimensionality Reduction and Filtering on Time Series Sensor Streams
Pages 103-141
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Table of contents (15 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Managing and Mining Sensor Data
- Editors
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- Charu C. Aggarwal
- Copyright
- 2013
- Publisher
- Springer US
- Copyright Holder
- Springer Science+Business Media New York
- eBook ISBN
- 978-1-4614-6309-2
- DOI
- 10.1007/978-1-4614-6309-2
- Hardcover ISBN
- 978-1-4614-6308-5
- Softcover ISBN
- 978-1-4899-9238-3
- Edition Number
- 1
- Number of Pages
- XIV, 534
- Topics
