The global maximum frequent itemsets need to be updated because of incremental distributed database. On the base of the fast miningalgorithm for global maximum frequent itemsets, an incremental miningalgorithm for g...
详细信息
ISBN:
(纸本)9781509064151;9781509064144
The global maximum frequent itemsets need to be updated because of incremental distributed database. On the base of the fast miningalgorithm for global maximum frequent itemsets, an incremental miningalgorithm for global maximum frequent itemsets based on health big data was proposed, namely,IMAGMFI algorithm. Firstly, the global frequent items were ***, the FP-tree was reconstructed by incremental distributed database. Third, the global maximum frequent itemsets of incremental distributed database were mined. Last,the global maximum frequent itemsets were gained by the strategy of top-down. The experimental results show that IMAGMFI algorithm is effective.
暂无评论