Qualitative Approach for Quantitative Association Rule Mining Using Fuzzy Rule Set

Provided by: Binary Information Press
Topic: Data Management
Format: PDF
In the quantitative association rule mining, the support and the semantic content is not up to the standards when numerical values are directly used. The existing quantitative mining is also time consuming and have variations in the qualitative aspects of the rules being generated. The existing literature splits the domain of each quantitative attribute into intervals and considers this as its new domain. Several approaches based on this idea have been proposed, either performing the clustering during the mining process or before it.

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