Taxonomic Conversational Case-Based Reasoning
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A Similarity Indexing Method for the Data Warehousing - Bit-Wise Indexing Method
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Agent-based buddy-finding methodology for knowledge sharing
Information and Management
Semantic Grid Services for Video Analysis
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Artificial Intelligence and Law
Enabling the interoperability of large-scale legacy systems
IAAI'08 Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3
Agent-based buddy-finding methodology for knowledge sharing
Information and Management
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Case-based reasoning (CBR) supports ill-structured decision making by retrieving previous cases that are useful toward the solution of a new decision problem. The usefulness of previous cases is determined by assessing the similarity of a new case with the previous cases. In this paper, we present a modified form of the cosine matching function that makes it possible to contrast the two cases being matched and to include differences in the importance of features in the new case and the importance of features in the previous case. Our empirical evaluation of a CBR application to a diagnosis and repair task in an electromechanical domain shows that the proposed modified cosine matching function has a superior retrieval performance when compared to the performance of nearest-neighbor and the Tversky's contrast matching functions