Managing and mining sensor data

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 la...

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Bibliographic Details
Corporate Authors: SpringerLink (Online service)
Group Author: Aggarwal, Charu C.
Published:
Literature type: Electronic eBook
Language: English
Subjects:
Online Access: http://dx.doi.org/10.1007/978-1-4614-6309-2
Summary: 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.
Carrier Form: 1 online resource (xiv, 534 p.) : ill. (some col.)
Bibliography: Includes bibliographical references and index.
ISBN: 9781461463092 (electronic bk.)
1461463092 (electronic bk.)
Index Number: QA76
CLC: TP311.13