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Informace o publikaci
Efficient relational learning from sparse data
Autoři | |
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Rok publikování | 2002 |
Druh | Článek ve sborníku |
Konference | Proceedings of AIMSA'02 Conference |
Fakulta / Pracoviště MU | |
Citace | |
Obor | Počítačový hardware a software |
Klíčová slova | relational learning; database schema redesign; mining in spatial dat |
Popis | 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. |
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