Abstract
AbstractCloud computing is large scale and highly scalable. The data mining based on cloud computing was a very important field. The paper proposed the algorithm of mining frequent itemsets based on mapReduce, namely MFIM algorithm. MFIM algorithm distributed data according horizontal projection method. MFIM algorithm made nodes compute local frequent itemsets with by FP-tree and mapReduce, then the center node exchanged data with other nodes and combined; finally, global frequent itemsets were gained by mapReduce. Theoretical analysis and experimental results suggest that MFIM algorithm is fast and effective.KeywordsFP-treeMapReduceFrequent itemsetsCloud computing
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