Toward mining of spatiotemporal maximal frequent patterns
| Authors | |
|---|---|
| Year of publication | 2005 |
| Type | Article in Proceedings |
| Conference | Proceedings of ECML/PKDD Workshop on Mining Spatio-Temporal Data (MSTD), |
| MU Faculty or unit | |
| Citation | |
| 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. |
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