Survey of Algorithms for Mining Maximal Frequent Itemsets

Mining association rules is quite an active field in the research of data mining in recent years,and mining frequent itemsets is the most important task of mining association rules.The scale of maximal frequent itemsets is much less than the scale of frequent itemsets,and all frequent itemsets can be educed from maximal frequent itemsets,so researchers do much work for mining maximal frequent itemsets specially.It presents that the definitions of association rule and relative terms,and simply surveys that the algorithms of max frequent itemsets mining and its incremental mining to provide a basis for for improving old algorithms or developing new effective ones.