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Decision Making Using Fuzzy C-means and Inductive Machine Learning for Managing Bank Branches Performance  (Make Corrections)  
M. Michalopoulos,G.D.Dounias*,N.Thomaidis*,G.Tselentis^ Dept. of Business...



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Abstract: : Decision making tools and architectures of nowadays consist an effective way of extracting useful information from complex data domains. A decision making scheme is presented here, combining fuzzy cluster analysis and TDIDT (Top Down Induction of Decision Trees) algorithms. Cluster analysis is primarily used by applying fuzzy C-means, in order to group uniform data sets stored in databases as attribute value vectors. This process has two outputs: an identification of clusters (through... (Update)

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BibTeX entry:   (Update)

@misc{ thomaidis-decision,
  author = "Michalopoulos Dounias Thomaidis",
  title = "Decision Making Using Fuzzy C-means and Inductive Machine Learning for
    Managing Bank Branches Performance",
  url = "citeseer.ist.psu.edu/458829.html" }
Citations (may not include all citations):
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976   Machine Learning (context) - MITCHELL - 1997
805   Algorithms for Clustering Data (context) - JAIN, DUBES - 1988
197   Cluster Analysis for Applications (context) - ANDERBERG - 1973
117   Features of Similarity (context) - TVERSKY - 1977
83   Generating Production Rules from Decision Trees (context) - QUINLAN - 1987
50   Discrimination and Classification (context) - HAND - 1981
24   Data Mining (context) - ADRIAANS, ZANTINGE - 1996
2   Can Machine Learning Solve my Problem (context) - KODRATOFF, GRANER et al. - 1994
1   C4.5: Programms for Machine Learning (context) - QUINLAN - 1993
1   of Machine Learning. MICHALSKI, R.S., CARBONELL, J.G. AND MI.. (context) - Intelligence, on - 1983
1   Developing a Multicriteria Decision Support System for Finan.. (context) - ZOPOUNIDIS, DOUMPOS - 1998

Documents on the same site (http://www2.ba.aegean.gr/members/gdounias/cv-dounias.htm):
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