Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
ACM Computing Surveys (CSUR)
Business Dynamics
Visual Explorations in Finance
Visual Explorations in Finance
Recognition of Western style musical genres using machine learning techniques
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Clustering the ecological footprint of nations using Kohonen's self-organizing maps
Expert Systems with Applications: An International Journal
A psycho-cognitive segmentation of organ donors in Egypt using Kohonen's self-organizing maps
Expert Systems with Applications: An International Journal
A neuro-computational intelligence analysis of the global consumer software piracy rates
Expert Systems with Applications: An International Journal
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In this paper, the issue of whether it is possible to design an objective impartial system of analysis of the Olympic results, which the majority of participating countries would agree upon, is analyzed by discussing different ways of ranking the performance of participating countries at Sydney 2000 Olympic Games. It is demonstrated that key measures frequently reported in the media lack the necessary descriptive power. The productivity measurement approach is used for modelling the multiple objective nature of the underlying situation. The unsupervised data mining technique of self-organizing maps is used to group the participating countries into homogenous clusters. The Data Envelopment Analysis (DEA)-based model is then used for producing a new ranking of participating teams acceptable as "fair" by the majority of participants.