An Improved Distributed Mining Algorithm of Association Rules

Provided by: AICIT
Topic: Big Data
Format: PDF
Large amount of data is stored in distributed web node as internet and distributed database develops, it is impossible to store these data in single node on account of communication, efficiency and security. Through research was conducted on mining association rules in the distributed database system and classical Apriori algorithm was extended based on transactional database system. Then an efficient algorithm that gets association rules from frequent itemsets was presented. Experiment results show that the algorithm has sound extension, short time complexity and small communication cost.

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