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Record Nr. |
UNINA9910739441203321 |
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Titolo |
Managing and mining sensor data / / Charu C. Aggarwal, editor |
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Pubbl/distr/stampa |
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New York, : Springer, 2013 |
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ISBN |
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1-299-19741-8 |
1-4614-6309-2 |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (xiv, 534 pages) : illustrations (some color) |
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Collana |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Sensor networks |
Data mining |
Information retrieval |
Computer storage devices |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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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Sommario/riassunto |
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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 |
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