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

Karlı, Sezin and Saygın, Yücel (2009) Mining periodic patterns in spatio-temporal sequences at different time granularities. Intelligent Data Analysis, 13 (2). pp. 301-335. ISSN 1088-467X

This is the latest version of this item.

Full text not available from this repository.

Official URL: http://dx.doi.org/10.3233/IDA-2009-0368


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
Uncontrolled Keywords:Data mining; spatio-temporal data; time granularity; periodic pattern
Subjects:Q Science > Q Science (General)
ID Code:13099
Deposited By:Yücel Saygın
Deposited On:01 Dec 2009 18:47
Last Modified:24 Jul 2019 10:33

Available Versions of this Item

Repository Staff Only: item control page