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DIS
2006
Springer

Interesting Patterns Extraction Using Prior Knowledge

8 years 7 months ago
Interesting Patterns Extraction Using Prior Knowledge
Abstract. One important challenge in data mining is to extract interesting knowledge and useful information for expert users. Since data mining algorithms extracts a huge quantity of patterns it is therefore necessary to filter out those patterns using various measures. This paper presents IMAK, a part-way interestingness measure between objective and subjective measure, which evaluates patterns considering expert knowledge. Our main contribution is to improve interesting patterns extraction using relationships defined into an ontology.
Laurent Brisson
Added 13 Oct 2010
Updated 13 Oct 2010
Type Conference
Year 2006
Where DIS
Authors Laurent Brisson
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