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.
KeywordsAssociation Rule Qualification Pattern Spelling Variety Prototype Vector Interesting Rule
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