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A Rough Set Model with Ontological Information for Discovering Maximal Association Rules in Document Collections

Bi, Y, Anderson, TJ and McClean, SI (2002) A Rough Set Model with Ontological Information for Discovering Maximal Association Rules in Document Collections. In: The Twenty-second SGAI International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Cambridge, UK. Springer. 14 pp. [Conference contribution]

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Item Type:Conference contribution (Paper)
Keywords:Rough Se, Ontology, Mining Maximal Association Rules
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
Computer Science Research Institute > Information and Communication Engineering
ID Code:7903
Deposited By: Dr Yaxin Bi
Deposited On:27 Jan 2016 14:24
Last Modified:27 Jan 2016 14:24

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