A Novel Approach for Hiding High Utility Sequential Patterns. - Tai Dinh; Minh Nguyen Quang; Bac Le (SoICT, 2015)

Mining Correlated High-Utility Itemsets Using the Bond Measure. - Philippe Fournier-Viger; Jerry Chun-Wei Lin; Tai Dinh; Hoai Bac Le (HAIS, 2016)

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 (IUKM, 2016)

MHHUSP: An integrated algorithm for mining and Hiding High Utility Sequential Patterns. - Minh Nguyen Quang; Tai Dinh; Ut Huynh; Bac Le (KSE, 2016)

Mining Periodic High Utility Sequential Patterns. - Tai Dinh; Van-Nam Huynh; Bac Le (ACIIDS (1), 2017)

k-CCM: A Center-Based Algorithm for Clustering Categorical Data with Missing Values. - Duy-Tai Dinh; Van-Nam Huynh (MDAI, 2018)

A New Context-Based Clustering Framework for Categorical Data. - Thanh-Phu Nguyen; Duy-Tai Dinh; Van-Nam Huynh (PRICAI (1), 2018)

An efficient algorithm for mining periodic high-utility sequential patterns. - Duy-Tai Dinh; Bac Le; Philippe Fournier-Viger; Van-Nam Huynh (Appl. Intell., 2018)

A pure array structure and parallel strategy for high-utility sequential pattern mining. - Bac Le; Ut Huynh; Duy-Tai Dinh (Expert Syst. Appl., 2018)

An efficient algorithm for Hiding High Utility Sequential Patterns. - Bac Le; Duy-Tai Dinh; Van-Nam Huynh; Quang-Minh Nguyen; Philippe Fournier-Viger (Int. J. Approx. Reason., 2018)

k-PbC: an improved cluster center initialization for categorical data clustering. - Duy-Tai Dinh; Van-Nam Huynh (Appl. Intell., 2020)

Mining correlated high-utility itemsets using various measures. - Philippe Fournier-Viger; Yimin Zhang; Jerry Chun-Wei Lin; Duy-Tai Dinh; Hoai Bac Le (Log. J. IGPL, 2020)

Combining Correlation-Based Feature and Machine Learning for Sensory Evaluation of Saigon Beer. - Nhat-Vinh Lu; Trong-Nhan Vuong; Duy-Tai Dinh (Int. J. Knowl. Syst. Sci., 2020)

Clustering mixed numerical and categorical data with missing values. - Duy-Tai Dinh; Van-Nam Huynh; Songsak Sriboonchitta (Inf. Sci., 2021)

Multi-core parallel algorithms for hiding high-utility sequential patterns. - Ut Huynh; Bac Le; Duy-Tai Dinh; Hamido Fujita (Knowl. Based Syst., 2022)

Understanding Mobile Game Reviews Through Sentiment Analysis: A Case Study of PUBGm. - Yang Yu 046; Tai Dinh; Fangyu Yu; Van-Nam Huynh (MEDI, 2023)

Mining Insights From Esports Game Reviews With an Aspect-Based Sentiment Analysis Framework. - Yang Yu 046; Duy-Tai Dinh; Ba-Hung Nguyen; Fangyu Yu; Van-Nam Huynh (IEEE Access, 2023)

Mining compact high utility sequential patterns. - Tai Dinh; Philippe Fournier-Viger; Huynh Van Hong (CoRR, 2023)

A method for k-means-like clustering of categorical data. - Thu-Hien Thi Nguyen; Duy-Tai Dinh; Songsak Sriboonchitta; Van-Nam Huynh (J. Ambient Intell. Humaniz. Comput., 2023)

Enhanced Feature-Based Clustering for Urban Land Use Pattern Detection. - Rameesh Khan; Zdena Dobesova; Yang Yu 046; Tai Dinh (KSE, 2024)

Data clustering: an essential technique in data science. - Wong Hauchi; Daniil Lisik; Tai Dinh (CoRR, 2024)

Categorical data clustering: 25 years beyond K-modes. - Tai Dinh; Wong Hauchi; Philippe Fournier-Viger; Daniil Lisik; Minh-Quyet Ha; Hieu-Chi Dam; Van-Nam Huynh (Expert Syst. Appl., 2025)

Estimating the Optimal Number of Clusters in Categorical Data Clustering by Silhouette Coefficient. - Duy-Tai Dinh; Tsutomu Fujinami; Van-Nam Huynh (CoRR, 2025)