Title :
Case Retrieval Method Based on Clustering Algorithm
Abstract :
Case retrieval is a central part in Case-based reasoning (CBR), in order to improve accuracy and efficiency of case retrieval, an improving method based on clustering using of self-organizing maps (SOM) was proposed in this paper. The advantage of this method is Cases´ visual clustering result provided by SOM networks greatly facilitating retrieval process and decreasing the retrieval time.
Keywords :
case-based reasoning; information retrieval; pattern clustering; self-organising feature maps; case based reasoning; case retrieval method; cases visual clustering; clustering algorithm; self organizing maps; Clustering algorithms; Computer aided software engineering; Computer science; Data visualization; Databases; Design for experiments; Humans; Self organizing feature maps; Software tools; Unsupervised learning; Case retrieval; Self-organizing maps; clustering;
Conference_Titel :
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-3881-5
DOI :
10.1109/WCSE.2009.869
