An Interactive Approach for the Post-processing in a KDD Process
作者： Paula Andrea Potes Ruiz , Bernard Kamsu-Foguem , Bernard Grabot
DOI: 10.1007/978-3-662-44739-0_12
关键词:
摘要: Association rule mining is a technique widely used in the field of data mining, which consists discovering relationships and/or correlations between attributes database. However, method brings known problems among fact that large number association rules may be extracted, not all them being relevant or interesting for domain expert. In context, we propose practical, interactive and helpful guided approach to visualize, evaluate compare extracted following step by methodology, taking into account interaction industrial expert
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sci-hub.st 参考文章(11)
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