Publication details

Toward mining of spatiotemporal maximal frequent patterns



Year of publication 2005
Type Article in Proceedings
Conference Proceedings of ECML/PKDD Workshop on Mining Spatio-Temporal Data (MSTD),
MU Faculty or unit

Faculty of Informatics

Field Informatics
Keywords data mining; spatiotemporal data
Description We show that propositional spatiotemporal logic PSTL is a powerful tool for mining in various spatiotemporal data including environmental and medical data, keystroke dynamics data or text. We introduce a refinement operator for a fragment of $PSTL$, $ST_0$ and %, and present frequent patterns mined with RAP. describe the ILP system GRAPE for mining first-order frequent patterns in spatiotemporal data. We also show that in the classification task %the use of this refinement operator can %decrease computational cost and that the use of frequent patterns as new features result in an accuracy increase.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.

More info