Customized frequent patterns mining algorithms for enhanced Top-Rank-K frequent pattern mining
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference35 articles.
1. SAT-based and CP-based declarative approaches for Top-Rank- K closed frequent itemset mining;Abed;International Journal of Intelligent Systems,2021
2. Fast algorithms for mining association rules;Agrawal,1994
3. Anceaume, E., Busnel, Y., & Cazacu, V. (2018). Finding Top-k Most Frequent Items in Distributed Streams in the Time-Sliding Window Model. In 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W) (pp. 61–62). IEEE. https://doi.org/10.1109/DSN-W.2018.00030.
4. negFIN: An efficient algorithm for fast mining frequent itemsets;Aryabarzan;Expert Systems with Applications,2018
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