Combining Case Based Reasoning and Data Mining - A way of revealing and reusing RAMS experience
Agnar Aamodt, H. A. Sandtorv, Ole Martin Winnem · 1998
ABSTRACT: The reuse of previous experience within safety, reliability and maintainability (RAMS) is an important input to complex decision making tasks. Statistical data are vital for many RAMS type of analyses, but frequently the investigation of a more limited number of past cases is preferable, enabling the reuse of relevant and concrete experience in dealing with a new task. In order to effective utilise the increasing amount of information available in computerised databases, a combination of quantitative and qualitative methods are therefore called for. This paper describes an approach where statistical methods for extracting interesting relationships in data (data mining), are combined with knowledge-based methods for capturing and reusing problem solving knowledge in the form of specific experiences (case-based reasoning). The main idea is to combine the two technologies in order to reuse past user experience in dealing with a problem situation, and to extract relevant and focused information from large and scattered data sources. The work is done within the EU project NOEMIE1. 1