Efficient relational learning from sparse data
| Autoři | |
|---|---|
| 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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