Managing and Mining Sensor Data
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Author
Contributions
- SpringerLink (Online service) - Contributor
Publication
2013 - Springer US, Boston, MA, United States
Language
English
Word Count
133,500 words, Guess
Page Count
534 pages
Physical Format
[electronic resource] /
Identifiers
- Open LibraryOL27072510M
- ISBN-139781461463092
- OCLC Control Numbermanagingminingse00agga
- Library of Congress Control Number2012956190
Classifications
- DDC006.312
- LCCQA76.9.D343
Description
<p>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. </p><p><i>Managing and Mining Sensor Data</i> 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. </p>
Subjects
Other Editions
- Managing and Mining Sensor Data
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