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Mining Promising Qualification Patterns
The skills to impart in academic management education are subject of
controversial debates. In this paper a web mining approach of learning promising
qualification patterns from job openings in the internet by classification of documents with a SOM network is presented. Moreover, the evaluation of clusters by
association rules and a new measure for the interestingness of rules are proposed.
Autor
Prof. Dr. Ralf Wagner
 
ArtikelFachbereichFachrichtung
2005BetriebswirtschaftslehreMarketing/Absatz
 
Schlagwörter
Association Rule, Spelling Variety, Prototype Vector, Interesting RUle, Qualification Pattern