WUN-Miner: A new method for mining frequent Weighted Utility itemsets. - Huong Bui; Bay Vo; Ham Nguyen (SMC, 2016)

A weighted N-list-based method for mining frequent weighted itemsets. - Huong Bui; Bay Vo; Ham Nguyen; Tu-Anh Nguyen-Hoang; Tzung-Pei Hong (Expert Syst. Appl., 2018)

Mining top-rank-k frequent weighted itemsets using WN-list structures and an early pruning strategy. - Bay Vo; Huong Bui; Thanh Vo; Tuong Le (Knowl. Based Syst., 2020)

A Sliding Window-Based Approach for Mining Frequent Weighted Patterns Over Data Streams. - Huong Bui; Tu-Anh Nguyen-Hoang; Bay Vo; Ham Nguyen; Tuong Le (IEEE Access, 2021)

Mining frequent weighted closed itemsets using the WN-list structure and an early pruning strategy. - Huong Bui; Bay Vo; Tu-Anh Nguyen-Hoang; Unil Yun (Appl. Intell., 2021)

Mining Frequent Weighted Utility Patterns in Dynamic Quantitative Databases. - Nguyen Le; Huong Bui; Minh Nguyen; Ham Nguyen; Tuong Le (RIVF, 2022)

Predicting Monthly Household Water Consumption. - Minh Thanh Vo; Duong Vu; Ham Nguyen; Huong Bui; Tuong Le (RIVF, 2022)

An efficient approach for mining weighted uncertain interesting patterns. - Ham Nguyen; Dang Vo; Huong Bui; Tuong Le; Bay Vo (Inf. Sci., 2022)

A new approach for efficiently mining frequent weighted utility patterns. - Ham Nguyen; Nguyen Le; Huong Bui; Tuong Le (Appl. Intell., 2023)

A Hybrid Deep Learning Approach for PM2.5 Concentration Prediction in Smart Environmental Monitoring. - Minh Thanh Vo; Anh H. Vo; Huong Bui; Tuong Le (Intell. Autom. Soft Comput., 2023)

Mining frequent weighted utility patterns with dynamic weighted items from quantitative databases. - Ham Nguyen; Nguyen Le; Huong Bui; Tuong Le (Appl. Intell., 2023)

An Efficient Algorithm for Mining Top-Rank-k Frequent Weighted Utility Itemsets in Hierarchical Quantitative Databases. - Duy Nguyen; Huong Bui; Ham Nguyen (RIVF, 2024)