Saygın, Yücel and Karlı, Sezin (2008) Mining periodic patterns in spatio-temporal sequences at different time granularities. (Accepted/In Press)
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Official URL: http://www.iospress.nl/loadtop/load.php?isbn=1088467x
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 extract patterns of the finest time granularity, and therefore
overlooks potential patterns available at coarser time granularities. In
this work, we propose two 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: | Article |
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Subjects: | Q Science > Q Science (General) |
Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng. Faculty of Engineering and Natural Sciences |
Depositing User: | Yücel Saygın |
Date Deposited: | 01 Dec 2008 13:27 |
Last Modified: | 22 Jul 2019 11:43 |
URI: | https://research.sabanciuniv.edu/id/eprint/10811 |
Available Versions of this Item
- Mining periodic patterns in spatio-temporal sequences at different time granularities. (deposited 01 Dec 2008 13:27) [Currently Displayed]