A Contribution to Learning in Temporal Logics
| Authors | |
|---|---|
| Year of publication | 2006 |
| Type | Article in Proceedings |
| Conference | 16th International Conference on Inductive Logic Programming |
| MU Faculty or unit | |
| Citation | |
| Field | Informatics |
| Keywords | inductive logic programming; temporal data; refinement operator; parallel mining |
| Description | We focus on mining of first-order frequent patterns in temporal logic and introduce an extension of the downward refinement operator for this logic. We also discuss the needed modifications of a distributed ILP system when adressing temporal data. |
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