HIGHLIGHTS
- who: Amira Mouakher and colleagues from the Institute of Information Technology, Corvinus University of Budapest, Budapest, Hungary have published the research: Efficient Mining Support-Confidence Based Framework Generalized Association Rules, in the Journal: Mathematics 2022, 10, 1163. of /2022/
- what: As opposed to this, the authors propose a new approach staying within the strict bounds of the original support-confidence framework. Keeping these cons in mind, the authors focus on the first and the most challenging step of generalized association rules mining, i.e., the extraction of frequent literalsets, since it is the most challenging . . .
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