POPELÍNSKÝ, Lubomír. Efficient relational learning from sparse data. In Proceedings of AIMSA'02 Conference. Varna: Springer Verlag, 2002, p. 11-20. ISBN 0302-9743.
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Basic information
Original name Efficient relational learning from sparse data
Authors POPELÍNSKÝ, Lubomír (203 Czech Republic, guarantor).
Edition Varna, Proceedings of AIMSA'02 Conference, p. 11-20, 2002.
Publisher Springer Verlag
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 20206 Computer hardware and architecture
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14330/02:00006716
Organization unit Faculty of Informatics
ISBN 0302-9743
UT WoS 000180979600002
Keywords in English relational learning; database schema redesign; mining in spatial dat
Tags database schema redesign, mining in spatial dat, relational learning
Changed by Changed by: doc. RNDr. Lubomír Popelínský, Ph.D., učo 1945. Changed: 19/5/2003 11:23.
Abstract
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.
Links
MSM 143300003, plan (intention)Name: Interakce člověka s počítačem, dialogové systémy a asistivní technologie
Investor: Ministry of Education, Youth and Sports of the CR, Human-computer interaction, dialog systems and assistive technologies
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