Finding closed frequent item sets by intersecting transactions

Author:

Borgelt Christian,Yang Xiaoyuan,Nogales-Cadenas Ruben,Carmona-Saez Pedro,Pascual-Montano Alberto

Publisher

ACM Press

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Fast On-Line ϵ-Approximation Algorithm for Mining Strongly Closed Itemsets;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

2. A Preliminary Study of Closed Generalized Itemsets and Their Enumeration Algorithms;2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI);2021-07

3. Association Rule Mining for Unknown Video Games;Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications;2020-10-27

4. CICLAD: A Fast and Memory-efficient Closed Itemset Miner for Streams;Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining;2020-07-06

5. Fuzzy Association Rule Mining Algorithm Based on Load Classifier;Communications in Computer and Information Science;2020

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