Duy-Tai Dinh

13 papers B 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Estimating the Optimal Number of Clusters in Categorical Data Clustering by Silhouette Coefficient.
CoRR
Duy-Tai Dinh, Tsutomu Fujinami, Van-Nam Huynh
2023 J jnl
A method for k-means-like clustering of categorical data.
J. Ambient Intell. Humaniz. Comput.
Thu-Hien Thi Nguyen, Duy-Tai Dinh, Songsak Sriboonchitta, Van-Nam Huynh
2023 J jnl
Mining Insights From Esports Game Reviews With an Aspect-Based Sentiment Analysis Framework.
IEEE Access
Yang Yu, Duy-Tai Dinh, Ba-Hung Nguyen, Fangyu Yu, Van-Nam Huynh
2022 J jnl
Multi-core parallel algorithms for hiding high-utility sequential patterns.
Knowl. Based Syst.
Ut Huynh, Bac Le, Duy-Tai Dinh, Hamido Fujita
2021 J jnl
Clustering mixed numerical and categorical data with missing values.
Inf. Sci.
Duy-Tai Dinh, Van-Nam Huynh, Songsak Sriboonchitta
2020 J jnl
Combining Correlation-Based Feature and Machine Learning for Sensory Evaluation of Saigon Beer.
Int. J. Knowl. Syst. Sci.
Nhat-Vinh Lu, Trong-Nhan Vuong, Duy-Tai Dinh
2020 J jnl
Mining correlated high-utility itemsets using various measures.
Log. J. IGPL
Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Duy-Tai Dinh, Hoai Bac Le
2020 J jnl
k-PbC: an improved cluster center initialization for categorical data clustering.
Appl. Intell.
Duy-Tai Dinh, Van-Nam Huynh
2018 — conf
A New Context-Based Clustering Framework for Categorical Data.
PRICAI (1)
Thanh-Phu Nguyen, Duy-Tai Dinh, Van-Nam Huynh
2018 J jnl
A pure array structure and parallel strategy for high-utility sequential pattern mining.
Expert Syst. Appl.
Bac Le, Ut Huynh, Duy-Tai Dinh
2018 J jnl
An efficient algorithm for Hiding High Utility Sequential Patterns.
Int. J. Approx. Reason.
Bac Le, Duy-Tai Dinh, Van-Nam Huynh, Quang-Minh Nguyen, Philippe Fournier-Viger
2018 J jnl
An efficient algorithm for mining periodic high-utility sequential patterns.
Appl. Intell.
Duy-Tai Dinh, Bac Le, Philippe Fournier-Viger, Van-Nam Huynh
2018 B conf
k-CCM: A Center-Based Algorithm for Clustering Categorical Data with Missing Values.
MDAI
Duy-Tai Dinh, Van-Nam Huynh