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Spatio-Temporal Data StreamsSpatio-Temporal Data Stream Clustering

Spatio-Temporal Data Streams: Spatio-Temporal Data Stream Clustering [Spatio-temporal data streams are huge amounts of data pertaining to time and position of moving objects. Mining such amount of data is a challenging problem, since the possibility to extract useful information from this peculiar kind of data is crucial in many RFIP application scenarios. Moreover, spatio-temporal data streams pose interesting challenges for their proper representation, thus making the mining process harder than for classical data. In this chapter we deal with a specific spatio-temporal data stream class, namely trajectory streams that collect data pertaining to spatial and temporal position of mobile objects.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Spatio-Temporal Data StreamsSpatio-Temporal Data Stream Clustering

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Publisher
Springer New York
Copyright
© The Author(s) 2016
ISBN
978-1-4939-6573-1
Pages
71 –103
DOI
10.1007/978-1-4939-6575-5_4
Publisher site
See Chapter on Publisher Site

Abstract

[Spatio-temporal data streams are huge amounts of data pertaining to time and position of moving objects. Mining such amount of data is a challenging problem, since the possibility to extract useful information from this peculiar kind of data is crucial in many RFIP application scenarios. Moreover, spatio-temporal data streams pose interesting challenges for their proper representation, thus making the mining process harder than for classical data. In this chapter we deal with a specific spatio-temporal data stream class, namely trajectory streams that collect data pertaining to spatial and temporal position of mobile objects.]

Published: Aug 27, 2016

Keywords: Knowledge discovery; Spatio-temporal data streams; Data stream clustering; Trajectory streams; Trajectory clustering

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