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Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach

Gamberger, Dragan and Lavrac, Nada and Fürnkranz, Johannes Ho, Tu-Bao and Zhou, Zhi-Hua (eds.) (2008):
Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach.
In: Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence (PRICAI-08), Springer-Verlag, pp. 636-645, [Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2008
Editors: Ho, Tu-Bao and Zhou, Zhi-Hua
Creators: Gamberger, Dragan and Lavrac, Nada and Fürnkranz, Johannes
Title: Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach
Language: English
Title of Book: Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence (PRICAI-08)
Publisher: Springer-Verlag
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Knowl­edge En­gi­neer­ing
Date Deposited: 24 Jun 2011 15:07
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