Toward mining of spatiotemporal maximal frequent patterns
| Název česky | K dolování v prostorově-časových datech |
|---|---|
| Autoři | |
| Rok publikování | 2005 |
| Druh | Článek ve sborníku |
| Konference | Proceedings of ECML/PKDD Workshop on Mining Spatio-Temporal Data (MSTD), |
| Fakulta / Pracoviště MU | |
| Citace | |
| Obor | Informatika |
| Klíčová slova | data mining; spatiotemporal data |
| Popis | 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 taskthe use of frequent patterns as new features result in an accuracy increase. |
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