DocumentCode
3351206
Title
Case Retrieval Method Based on Clustering Algorithm
Author
Hui, Du
Volume
2
fYear
2009
fDate
28-30 Oct. 2009
Firstpage
535
Lastpage
538
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location
Qingdao
Print_ISBN
978-0-7695-3881-5
Type
conf
DOI
10.1109/WCSE.2009.869
Filename
5403216
Link To Document