Software modeling and measurement: the Goal/Question/Metric paradigm
Software modeling and measurement: the Goal/Question/Metric paradigm
Data & Knowledge Engineering
Modelling the Competence of Case-Bases
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
When Experience Is Wrong: Examining CBR for Changing Tasks and Environments
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Categorizing Case-Base Maintenance: Dimensions and Directions
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Managing Information Quality
Case-base maintenance: the husbandry of experience
Case-base maintenance: the husbandry of experience
Developing Industrial Case-Based Reasoning Applications: The Inreca Methodology (Lecture Notes in Computer Science, 1612.)
Knowledge Maintenance of Case-Based Reasoning Systems: The Siam Methodology (Dissertations in Artificial Intelligence)
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Case-based reasoning systems are used in more and more problem-solving domains supporting the long-term reusing and storing of experience. The performance of these systems essentially depends on the quality of the experience items in their knowledge base, represented as data. Defects in the quality of these data may interfere with the system's performance. By means of inspection and review the data quality is measured, evaluated, assured and improved. To support these activities in a case-based reasoning system, data quality criteria and control processes are required. Previous work in the field of data quality in case-based reasoning remains at a comparatively coarse-grained level. Existing approaches mostly do not provide sufficient methodological assistance in defining fine-grained quality criteria or designing and implementing control processes for the measurement and evaluation of the data quality. Therefore this paper proposes two approaches for methodological assistance in developing data quality inspections and data quality management for case-based reasoning systems.