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On Quality Measures for Case Base Maintenance
Author(s) -
Thomas Reinartz,
Ioannis Iglezakis,
Thomas Roth–Berghofer
Publication year - 2000
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-67933-2
DOI - 10.1007/3-540-44527-7_22
Subject(s) - computer science , correctness , consistency (knowledge bases) , container (type theory) , quality (philosophy) , base (topology) , process (computing) , focus (optics) , knowledge base , case based reasoning , risk analysis (engineering) , software engineering , artificial intelligence , algorithm , programming language , engineering , mathematics , mechanical engineering , medicine , mathematical analysis , philosophy , physics , optics , epistemology
Case base maintenance is one of the most important issues for current research in Case-Based Reasoning (CBR). In this paper, we outline two novel steps as part of the maintenance phase of the CBR process. The review step covers assessment and monitoring of the knowledge containers whereas the restore step actually modifies the contents of the containers according to recommendations resulting from the review step. Here, we focus our attention on the review step for the case base. For this purpose, we define several quality measures based on different case and case base properties that describe specific characteristics of the case base such as correctness, consistency, uniqueness, minimality, and incoherence. These measures allow an initial implementation of the review step for the case base container. We conclude the paper with an outline of future work to extend these aspects of maintenance in CBR.

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