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- W2350169205 abstract "How to mine the frequent itemsets of fault information in the power communication network is of great significance to the fault diagnosis and removal of the network. According to the basic theory of combinatorics and the set theory, a frequent itemsets mining algorithm is proposed, which transfers the issue of frequent itemsets mining into a statistical issue. And Hadoop platform is also used in the algorithm that scans the transaction database once to complete the target frequent itemsets mining, which needs no more scan or mining with support changing. The experimental results show that this algorithm performs well in expansibility and has a little time cost in handling large transaction database, which means a lot to the fault diagnosis and removal of power communication network." @default.
- W2350169205 created "2016-06-24" @default.
- W2350169205 creator A5041471157 @default.
- W2350169205 date "2015-01-01" @default.
- W2350169205 modified "2023-09-27" @default.
- W2350169205 title "A Frequent Itemsets Mining Algorithm of Electric Power Communication Network Fault Information Based on MapReduce" @default.
- W2350169205 hasPublicationYear "2015" @default.
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