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                                       Details for article 5 of 10 found articles
 
 
  Mining periodic patterns in spatio-temporal sequences at different time granularities
 
 
Title: Mining periodic patterns in spatio-temporal sequences at different time granularities
Author: Karli, Sezin
Saygin, Yucel
Appeared in: Intelligent data analysis
Paging: Volume 13 (2009) nr. 2 pages 301-335
Year: 2009-04-22
Contents: 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.
Publisher: IOS Press
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

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