ملف الباحث
Byeong Ho Kang
ورقة واحدة في مجموعة PaperMetrix
المنشورات
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GeneticMax: An Efficient Approach to Mining Maximal Frequent Itemsets Based on Genetic Algorithms
2015
This paper presents a new approach based on genetic algorithms (GAs) to generate maximal frequent itemsets (MFIs) from large datasets. This new algorithm, GeneticMax, is heuristic which mimics natural selection approaches for finding MFIs in …