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@inproceedings{406619, author = {Popelínský, Lubomír}, address = {Varna}, booktitle = {Proceedings of AIMSA'02 Conference}, keywords = {relational learning; database schema redesign; mining in spatial dat}, language = {eng}, location = {Varna}, isbn = {0302-9743}, pages = {11-20}, publisher = {Springer Verlag}, title = {Efficient relational learning from sparse data}, year = {2002} }
TY - JOUR ID - 406619 AU - Popelínský, Lubomír PY - 2002 TI - Efficient relational learning from sparse data PB - Springer Verlag CY - Varna SN - 03029743 KW - relational learning KW - database schema redesign KW - mining in spatial dat N2 - This work deals with inductive inference of logic programs -relational learning - from examples. The work is, in the first place, application-oriented. It aims at building an easy-to-use relational learner and it focuses on the tasks that are solvable with the tool. Assumption-based learning, the new learning paradigm is introduced and the ABL system WiM is described. A methodology for experimental evaluation of ILP systems is introduced and experiments with WiM are displayed. Two classes of application -- database schema redesign and mining in spatial data - that have been successfully solved with WiM are described. ER -
POPELÍNSKÝ, Lubomír. Efficient relational learning from sparse data. In \textit{Proceedings of AIMSA'02 Conference}. Varna: Springer Verlag, 2002, s.~11-20. ISBN~0302-9743.
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