<p>From the reviews:</p>“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)

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. 
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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. The human-centric aspect of sensor data has created tremendous opportunities in integrating social aspects of sensor data collection into the mining process.
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An Introduction to Sensor Data Analytics.- A Survey of Model-based Sensor Data Acquisition and Management.- Query Processing in Wireless Sensor Networks.- Event Processing in Sensor Streams.- Dimensionality Reduction and Filtering on Time Series Sensor Streams.- Mining Sensor Data Streams.- Real-Time Data Analytics in Sensor Networks.- Distributed Data Mining in Sensor Networks.- Social Sensing.- Sensing for Mobile Objects.- A Survey of RFID Data Processing.- The Internet of Things: A Survey from the Data-Centric Perspective.- Data Mining for Sensor Bug Diagnosis.- Mining of Sensor Data in Healthcare: A Survey.- Earth Science Applications of Sensor Data.
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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)
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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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Produktdetaljer

ISBN
9781489992383
Publisert
2015-06-26
Utgiver
Vendor
Springer-Verlag New York Inc.
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet

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