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@inproceedings{695252, author = {Popelínský, Lubomír and Blaťák, Jan}, address = {Santiago de Compostela, Spain}, booktitle = {16th International Conference on Inductive Logic Programming}, edition = {1}, keywords = {inductive logic programming; temporal data; refinement operator; parallel mining}, language = {eng}, location = {Santiago de Compostela, Spain}, isbn = {84-9749-206-4}, pages = {167-169}, publisher = {University of Coruna}, title = {A Contribution to Learning in Temporal Logics}, year = {2006} }
TY - JOUR ID - 695252 AU - Popelínský, Lubomír - Blaťák, Jan PY - 2006 TI - A Contribution to Learning in Temporal Logics PB - University of Coruna CY - Santiago de Compostela, Spain SN - 8497492064 KW - inductive logic programming KW - temporal data KW - refinement operator KW - parallel mining N2 - 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. ER -
POPELÍNSKÝ, Lubomír and Jan BLAŤÁK. A Contribution to Learning in Temporal Logics. In \textit{16th International Conference on Inductive Logic Programming}. 1st ed. Santiago de Compostela, Spain: University of Coruna, 2006, p.~167-169. ISBN~84-9749-206-4.
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