Intelligent database tools & applications
Intelligent database tools & applications
Case-based reasoning
Case-based retrieval interface adapted to customer-initiated dialogues in help desk operations
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Question-asking Question-answering Systems
Question-asking Question-answering Systems
Retrieving cases from relational data-bases: another stride towards corporate-wide case-base systems
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 2
Redundancy Detection in Semistructured Case Bases
IEEE Transactions on Knowledge and Data Engineering
When Two Case Bases Are Better than One: Exploiting Multiple Case Bases
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
| Hi-index | 0.00 |
This paper describes a discontinuity detection method for case-bases and data bases. A discontinuous case or data record is defined as a case or data record whose specific attribute values are very differen t from those of other records retrieved with identical or similar input specifications. Using the proposed method, when a user gives an input specification, he/she can retrieve not only exactly-matched cases, but also similar cases and discontinuous cases. The proposed method has three steps: (1) Retrieving case records with input specifications which are the same as or similar to a user's input specification (Maybe Similar Case, MSC), (2) Selecting a case record which most closelv matches the user's input specification among MSCs (Base Case, BC), and (3) Detecting cases among MSCs whose output specifications are very different from those of BC. The proposed method has been implemented in the CARET case-based retrieval tool operating on commercial RDBMS. Because case-based reasoning systems rely on the underlying assumption that similar input specifications retrieve similar case records, discontinuity detection in casebases is indispensable, and our proposed method is especially useful.