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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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