Mining periodic patterns in spatio-temporal sequences at different time granularities

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Karlı, Sezin (2007) Mining periodic patterns in spatio-temporal sequences at different time granularities. [Thesis]

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Abstract

With the advancement of technology, it is now easy to collect the location information of mobile users over time. Spatio-temporal data mining techniques were proposed in the literature for the extraction of patterns from spatio-temporal data. However, current techniques can only produce patterns at the finest time granularity, and therefore overlooks potential patterns available at coarser time granularities. In this work, we propose several techniques to allow mining at different time granularities. Experimental results show that the proposed techniques are indeed effective and efficient for mining periodic spatio-temporal patterns at different time granularities.
Item Type: Thesis
Uncontrolled Keywords: Data mining. -- Pattern. -- Spatio-temporal. -- Time granularity. -- Periodic pattern. -- Veri madenciliği. -- Zaman-mekan. -- Desen. -- Zaman tanecikliliği. -- Periyodik desen.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences
Depositing User: IC-Cataloging
Date Deposited: 13 May 2008 10:54
Last Modified: 26 Apr 2022 09:48
URI: https://research.sabanciuniv.edu/id/eprint/8466

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