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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. |
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Autor |
Prof. Dr. Ralf Wagner |
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Artikel | | Fachbereich | | Fachrichtung | 2004 | | Betriebswirtschaftslehre | | Marketing/Absatz |
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Schlagwörter |
Association Rule, Interesting RUle, Prototype Vector, Qualification Pattern, Spelling Variety |