An Improved Association Rule Mining Algorithm Based on the Prior Information-Reference-Cited by-同舟云学术

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An Improved Association Rule Mining Algorithm Based on the Prior Information

Published:2022-10-28 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)
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Author:

Cai Xiaoquan¹,Xu Shengbing¹,Chen Lei¹,Li Jinzhang¹,Qiu Xinyu¹,Zheng Boqi²

Affiliation:

1. Guangdong University of Technology,School of Mathematics and Statistics,Guangdong,China

2. University of Technology,School of Management Guangdong,Guangdong,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9967441/9967479/09967736.pdf?arnumber=9967736

Reference18 articles.

1. The improved Apriori algorithm based on matrix pruning and weight analysis

2. TKC: Mining Top-K Cross-Level High Utility Itemsets

3. Parallel Design of Apriori Algorithm Based on the Method of “Determine Infrequent Items & Remove Infrequent Itemsets”

4. Mining generalized association rules

5. Mining Frequent Itemsets with Category-Based Constraints

Cited by 1 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. Multilevel Association Mining with Particle Swarm Optimization: A Comprehensive Approach for High-Utility Itemset Discovery;Lecture Notes in Networks and Systems;2024

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