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Record ID harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:729327810:2863
Source harvard_bibliographic_metadata
Download Link /show-records/harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:729327810:2863?format=raw

LEADER: 02863nam a22004455a 4500
001 013672366-7
005 20130614191247.0
008 130125s2013 xxu| s ||0| 0|eng d
020 $a9781461463092
020 $a9781461463092
020 $a9781461463085
024 7 $a10.1007/978-1-4614-6309-2$2doi
035 $a(Springer)9781461463092
040 $aSpringer
050 4 $aQA76.9.D343
072 7 $aUNF$2bicssc
072 7 $aUYQE$2bicssc
072 7 $aCOM021030$2bisacsh
082 04 $a006.312$223
100 1 $aAggarwal, Charu C.
245 10 $aManaging and Mining Sensor Data /$cedited by Charu C. Aggarwal.
260 $aBoston, MA :$bSpringer US :$bImprint: Springer,$c2013.
300 $aXIV, 534 p. 66 illus., 43 illus. in color.$bdigital.
505 0 $aAn 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.
520 $aAdvances 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. 
650 24 $aInformation Systems Applications (incl. Internet)
650 20 $aInformation retrieval.
650 20 $aInformation organization.
650 20 $aDatabase management.
650 10 $aComputer science.
650 0 $aComputer science.
650 0 $aComputer Communication Networks.
650 0 $aDatabase management.
650 0 $aData mining.
650 0 $aInformation storage and retrieval systems.
650 24 $aData Mining and Knowledge Discovery.
650 24 $aComputer Communication Networks.
776 08 $iPrinted edition:$z9781461463085
988 $a20130502
906 $0VEN