Automatic Case Acquisition in Case-Based System Using Data Mining
Ni Zhi · Journal of Tianjin University Science and Technology · 2003
As an important supplementary technique to rule based reasoning,case based reasoning, has been emphasized by researchers in the artificial intelligence field. In a case based system, there are many kinds of knowledge, such as case base ,adaptation knowledge base ,indexing model, similarity assessing criteria, etc. There exists also a bottleneck in these knowledge acquisitions. The use of data mining may automat the acquisition of the knowledge and heighten the whole competence of the intelligent system. This paper discusses emphatically data mining techniques which could be used in CBR, and puts forward two algorithms of case base acquisition from historical data base automatically. The experimental result shows that this idea speeds up the implementation cycle of CBR intelligent system and strengthens the running efficiency of the system.