Maintenance of High Fuzzy Utility Itemsets Using the Pre-Large-Itemset Concept and Tree Structure-Reference-Cited by-同舟云学术

Maintenance of High Fuzzy Utility Itemsets Using the Pre-Large-Itemset Concept and Tree Structure

Published:2023-09-04 Issue: Volume: Page:
ISSN:
Container-title:The 10th Multidisciplinary International Social Networks Conference
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Author:

Hong Tzung-Pei¹^ORCID,Hung Wei-Teng²^ORCID,Tsai Yu-Chuan³^ORCID,Huang Wei-Ming⁴^ORCID

Affiliation:

1. Department of Computer Science and Information, National University of Kaohsiung, Taiwan and Department of Computer Science and Engineering, National Sun Yat-Sen University, Taiwan

2. Department of Computer Science and Information, National Sun Yat-sen University, Taiwan

3. Library and Information Center, National University of Kaohsiung, Taiwan

4. Department of Electrical and Control, China Steel Inc., Taiwan

Funder

National Science and Technology Council, Taiwan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3624875.3624895

Reference28 articles.

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2. R. Agrawal and R. Srikant 1994. “Fast algorithm for mining association rules “ In Proceedings of the 1994 International Conference on Very Large Data Bases pp. 487–499. R. Agrawal and R. Srikant 1994. “Fast algorithm for mining association rules “ In Proceedings of the 1994 International Conference on Very Large Data Bases pp. 487–499.

3. Maintenance of discovered association rules in large databases: an incremental updating technique

4. Z. Cheng W. Fang W. Shen C. W. Lin and B. Yuan 2023. “An efficient utility-list based high-utility itemset mining algorithm ” Applied Intelligence. Z. Cheng W. Fang W. Shen C. W. Lin and B. Yuan 2023. “An efficient utility-list based high-utility itemset mining algorithm ” Applied Intelligence.

5. Mining high utility itemsets

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