5 Papers
60 Citations
Ut Huynh is an academic researcher from Ho Chi Minh City University of Science. The author has contributed to research in topics: Affinity analysis & Information technology. The author has an hindex of 3, co-authored 5 publications. Previous affiliations of Ut Huynh include University of the Sciences.
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Papers
A pure array structure and parallel strategy for high-utility sequential pattern mining
Bac Le,Ut Huynh,Duy-Tai Dinh +2 more
TL;DR: A novel pruning strategy that efficiently prunes non-HUSPs and significantly reduces the search space compared to the state-of-the-art HUS-Span algorithm is presented and a parallel strategy to speed up the mining process is proposed.
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MHHUSP: An integrated algorithm for mining and Hiding High Utility Sequential Patterns
Minh Nguyen Quang,Tai Dinh,Ut Huynh,Bac Le +3 more
- 01 Oct 2016
TL;DR: An integrated algorithm named MHHUSP (Mining with Hiding High Utility Sequential Patterns) which combines mining process with hiding process in a common process is presented which outperforms the state-of-the-art HHUSP algorithm.
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An Approach to Decrease Execution Time and Difference for Hiding High Utility Sequential Patterns
Minh Nguyen Quang,Ut Huynh,Tai Dinh,Nghia Hoai Le,Bac Le +4 more
- 30 Nov 2016
TL;DR: Two algorithms are presented, which are HH USP-D and HHUSP-A (Hiding High Utility Sequential Pattern by Descending and Ascending order of utility) to decrease the difference and also decrease execution time.
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A Survey of Privacy Preserving Utility Mining
Duy-Tai Dinh,Van-Nam Huynh,Bac Le,Philippe Fournier-Viger,Ut Huynh,Quang-Minh Nguyen +5 more
- 01 Jan 2019
TL;DR: This chapter provides an up-to-date survey on privacy preserving utility mining (PPUM) to provide a general overview of recent techniques and algorithms for PPUM and focuses on research on both privacy preserving high-utility itemset mining and privacy preserving low utility sequential pattern mining.
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Mining Periodic High-Utility Sequential Patterns with Negative Unit Profits
Ut Huynh,Bac Le,Duy-Tai Dinh,Van-Nam Huynh +3 more
- 01 Jan 2021
TL;DR: In this article, the authors focus on mining periodic high-utility sequential patterns where external utility values may be positive or negative (PHUSPN), and propose an algorithm named PHUSN to discover such kinds of patterns efficiently.
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