Incremental mining of weighted maximal frequent itemsets from dynamic databases
作者：
Highlights：
• We propose an incremental mining algorithm that finds weighted maximal frequent itemsets.
• We devise strategies for guaranteeing correctness of the proposed algorithm.
• We suggest performance improving techniques for the incremental pattern mining.
• We provide extensive, comprehensive performance evaluation results.
摘要
•We propose an incremental mining algorithm that finds weighted maximal frequent itemsets.•We devise strategies for guaranteeing correctness of the proposed algorithm.•We suggest performance improving techniques for the incremental pattern mining.•We provide extensive, comprehensive performance evaluation results.
论文关键词：Data mining,Frequent pattern mining,Incremental mining,Maximal pattern mining,Weight conditions
论文评审过程：Received 27 November 2014, Revised 27 January 2016, Accepted 28 January 2016, Available online 4 February 2016, Version of Record 23 February 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.01.049
