Comparative analysis of genetic based approach and Apriori algorithm for mining maximal frequent item sets

In the data mining research area, discovering frequent item sets is an important issue and key factor for mining association rules. For large datasets, a huge amount of frequent patterns are generated for a low support value, which is a major challenge in frequent pattern mining tasks. A Maximal fre...

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Bibliographische Detailangaben

Hauptverfasser:	Kabir, Mir Md Jahangir, Shuxiang Xu, Byeong Ho Kang, Zongyuan Zhao
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithm design and analysis Arrays association rules Data mining genetic algorithm Genetic algorithms lexicographic tree maximal frequent item sets Sociology Statistics
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