Detailed Information on Publication Record
2002
Efficient relational learning from sparse data
POPELÍNSKÝ, LubomírBasic 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
Language
English
Type of outcome
Stať ve sborníku
Field of Study
20206 Computer hardware and architecture
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
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
Změněno: 19/5/2003 11:23, doc. RNDr. Lubomír Popelínský, Ph.D.
Abstract
V originále
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
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