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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.
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Subjects
Data Mining and Knowledge Discovery, Database management, Information storage and retrieval systems, Information organization, Information retrieval, Computer Communication Networks, Information Systems Applications (incl. Internet), Computer science, Data mining, Multisensor data fusion, Sensor networksEdition | Availability |
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Managing and Mining Sensor Data
2013, Springer US, Imprint: Springer
electronic resource /
in English
1461463092 9781461463092
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- Created July 5, 2019
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March 28, 2025 | Edited by ImportBot | Redacting ocaids |
September 12, 2024 | Edited by MARC Bot | import existing book |
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July 5, 2019 | Created by MARC Bot | Imported from Internet Archive item record |