Abstract
Recent advances in communication and information technology, such as the increasing accuracy of GPS technology and the miniaturization of wireless communication devices pave the road for Location-Based Services (LBS). To achieve high quality for such services, spatio-temporal data mining techniques are needed. In this paper, we describe experiences with spatio-temporal rule mining in a Danish data mining company. First, a number of real world spatio-temporal data sets are described, leading to a taxonomy of spatio-temporal data. Second, the paper describes a general methodology that transforms the spatio-temporal rule mining task to the traditional market basket analysis task and applies it to the described data sets, enabling traditional association rule mining methods to discover spatio-temporal rules for LBS. Finally, unique issues in spatio-temporal rule mining are identified and discussed.
Originalsprog | Engelsk |
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Titel | Proceedings of the Seventh International Conference on Data Warehousing and Knowledge Discovery |
Vol/bind | 3589 |
Forlag | Springer |
Publikationsdato | 2005 |
Sider | 275-284 |
DOI | |
Status | Udgivet - 2005 |
Begivenhed | International Conference on Data Warehousing and Knowledge Discovery - Copenhagen, Danmark Varighed: 22 aug. 2005 → 26 aug. 2005 Konferencens nummer: 7 |
Konference
Konference | International Conference on Data Warehousing and Knowledge Discovery |
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Nummer | 7 |
Land/Område | Danmark |
By | Copenhagen |
Periode | 22/08/2005 → 26/08/2005 |