DocumentCode :
2724118
Title :
Selecting the Right Peer Schools for AACSB Accreditation - A Data Mining Application
Author :
Kiang, Melody Y. ; Fisher, Dorothy M. ; Fisher, D.M. ; Chi, Robert T.
Author_Institution :
California State Univ., Long Beach, CA
fYear :
2007
fDate :
March 1 2007-April 5 2007
Firstpage :
31
Lastpage :
34
Abstract :
For a business school, the selection of its peer schools is an important component of its International Association for Management Education (AACSB) (re)accreditation process. A school typically compares itself with other institutions having similar structural and identity-based attributes. The identification of peer schools is critical and can have a significant impact on a business school´s accreditation efforts. For many schools the selection of comparable peer schools is a judgmental process. This study offers an alternative means for selection; a quantitative technique called Kohonen´s self-organizing map (SOM) network for clustering. SOM as a software agent uses visualization to present information to the school in choosing its peer schools.
Keywords :
accreditation; data mining; data visualisation; educational administrative data processing; self-organising feature maps; software agents; International Association for Management Education reaccreditation; Kohonen self-organizing map network; business school; data mining application; information visualization; peer school selection; software agent; Accreditation; Computational intelligence; Computer networks; Data mining; Data visualization; Educational institutions; Multidimensional systems; Neural networks; Software agents; Unsupervised learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Data Mining, 2007. CIDM 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0705-2
Type :
conf
DOI :
10.1109/CIDM.2007.368849
Filename :
4221273
Link To Document :
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