Ham Nguyen

14 papers B 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficiently mining frequent weighted utility closed patterns with pruning strategies from dynamic quantitative databases.
J. Supercomput.
Nguyen Le, Ham Nguyen, Minh Nguyen, Huong Bui, Unil Yun, Bay Vo
2024 — conf
An Efficient Algorithm for Mining Closed Frequent Pattern on Quantitative Databases.
RIVF
Binh Ho, Ha Thanh Dung, Bui Danh Huong, Ham Nguyen
2024 — conf
An Efficient Algorithm for Mining Top-Rank-k Frequent Weighted Utility Itemsets in Hierarchical Quantitative Databases.
RIVF
Duy Nguyen, Huong Bui, Ham Nguyen
2023 J jnl
A new approach for efficiently mining frequent weighted utility patterns.
Appl. Intell.
Ham Nguyen, Nguyen Le, Huong Bui, Tuong Le
2023 J jnl
Mining frequent weighted utility patterns with dynamic weighted items from quantitative databases.
Appl. Intell.
Ham Nguyen, Nguyen Le, Huong Bui, Tuong Le
2022 J jnl
An Improving Approach for Top-Rank-k Frequent Pattern Mining.
Vietnam. J. Comput. Sci.
Ham Nguyen
2022 J jnl
An efficient approach for mining weighted uncertain interesting patterns.
Inf. Sci.
Ham Nguyen, Dang Vo, Huong Bui, Tuong Le, Bay Vo
2022 — conf
Mining Frequent Weighted Utility Patterns in Dynamic Quantitative Databases.
RIVF
Nguyen Le, Huong Bui, Minh Nguyen, Ham Nguyen, Tuong Le
2022 J jnl
Mining frequent weighted utility itemsets in hierarchical quantitative databases.
Knowl. Based Syst.
Ham Nguyen, Tuong Le, Minh Nguyen, Philippe Fournier-Viger, Vincent S. Tseng, Bay Vo
2022 — conf
Predicting Monthly Household Water Consumption.
RIVF
Minh Thanh Vo, Duong Vu, Ham Nguyen, Huong Bui, Tuong Le
2021 J jnl
A Sliding Window-Based Approach for Mining Frequent Weighted Patterns Over Data Streams.
IEEE Access
Huong Bui, Tu-Anh Nguyen-Hoang, Bay Vo, Ham Nguyen, Tuong Le
2018 J jnl
A weighted N-list-based method for mining frequent weighted itemsets.
Expert Syst. Appl.
Huong Bui, Bay Vo, Ham Nguyen, Tu-Anh Nguyen-Hoang, Tzung-Pei Hong
2016 J jnl
An efficient algorithm for mining frequent weighted itemsets using interval word segments.
Appl. Intell.
Ham Nguyen, Bay Vo, Minh Nguyen, Witold Pedrycz
2016 B conf
WUN-Miner: A new method for mining frequent Weighted Utility itemsets.
SMC
Huong Bui, Bay Vo, Ham Nguyen