Mining Frequent Weighted Utility Patterns in Dynamic Quantitative Databases-Reference-Cited by-同舟云学术

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Mining Frequent Weighted Utility Patterns in Dynamic Quantitative Databases

Published:2022-12-20 Issue: Volume: Page:
ISSN:
Container-title:2022 RIVF International Conference on Computing and Communication Technologies (RIVF)
language:
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Author:

Le Nguyen¹,Bui Huong²,Nguyen Minh³,Nguyen Ham⁴,Le Tuong⁵

Affiliation:

1. iSPACE Cybersecurity Vocational Training College,Faculty of Information Technology,Ho Chi Minh City,Vietnam

2. FPT University,Faculty of Computing Fundamentals,Ho Chi Minh City,Vietnam

3. VNU University of Science,Faculty of Mathematics, Mechanics, and Informatics,Hanoi,Vietnam

4. HUTECH University,Faculty of Information Technology,Ho Chi Minh City,Vietnam

5. Informetrics Research Group Ton Duc Thang University,Ho Chi Minh City,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10013784/10013785/10013859.pdf?arnumber=10013859

Reference35 articles.

1. A Weighted Utility Framework for Mining Association Rules

2. MBiS: an efficient method for mining frequent weighted utility itemsets from quantitative databases;nguyen;Journal of Computer Science and Cybernetics,0

3. WUN-Miner: A new method for mining frequent Weighted Utility itemsets

4. Average utility driven data analytics on damped windows for intelligent systems with data streams

5. Frequent Itemset Mining Dataset Repository,0

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