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Managing and Mining Sensor Data

Editat de Charu C. Aggarwal
en Limba Engleză Paperback – 26 iun 2015
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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Specificații

ISBN-13: 9781489992383
ISBN-10: 1489992383
Pagini: 548
Ilustrații: XIV, 534 p.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 0.76 kg
Ediția:2013
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

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.

Recenzii

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)

Caracteristici

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