Tai Dinh

18 papers C 1Misc 1Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
An upper bound on the silhouette evaluation metric for clustering.
Pattern Recognit.
Hugo Sträng, Tai Dinh
2026 J jnl
Ontology-driven personalized information retrieval for XML documents.
CoRR
Ounnaci Iddir, Ahmed-Ouamer Rachid, Tai Dinh
2026 J jnl
Silhouette-upper-bound: An upper bound on the silhouette evaluation metric for clustering.
Softw. Impacts
Hugo Sträng, Tai Dinh
2025 J jnl
An efficient fusion-based deep learning framework for land use and land cover image clustering.
Eng. Appl. Artif. Intell.
Tai Dinh, Dat Tran, Zdena Dobesová, Huynh Van Hong, Daniil Lisik, Rameesh Khan
2025 J jnl
An upper bound of the silhouette validation metric for clustering.
CoRR
Hugo Sträng, Tai Dinh
2025 J jnl
Categorical data clustering: 25 years beyond K-modes.
Expert Syst. Appl.
Tai Dinh, Wong Hauchi, Philippe Fournier-Viger, Daniil Lisik, Minh-Quyet Ha, Hieu-Chi Dam, Van-Nam Huynh
2025 J jnl
Reinforcement Learning from Probabilistic Forecasts for Safe Decision-Making via Conditional Value-at-Risk Planning.
CoRR
Michal Koren, Or Peretz, Tai Dinh, Philip S. Yu
2025 — conf
Sentiment Analysis of Travel Reviews in Kyoto Using LLMs.
ADMA (3)
Shehan Liyanaarachchi, Tai Dinh, Wuyi Yue, Trung Vo, Le-Minh Nguyen
2024 J jnl
Categorical data clustering: 25 years beyond K-modes.
CoRR
Tai Dinh, Wong Hauchi, Philippe Fournier-Viger, Daniil Lisik, Minh-Quyet Ha, Hieu-Chi Dam, Van-Nam Huynh
2024 J jnl
Data clustering: an essential technique in data science.
CoRR
Wong Hauchi, Daniil Lisik, Tai Dinh
2024 — conf
Enhanced Feature-Based Clustering for Urban Land Use Pattern Detection.
KSE
Rameesh Khan, Zdena Dobesová, Yang Yu, Tai Dinh
2023 J jnl
Mining compact high utility sequential patterns.
CoRR
Tai Dinh, Philippe Fournier-Viger, Huynh Van Hong
2023 C conf
Understanding Mobile Game Reviews Through Sentiment Analysis: A Case Study of PUBGm.
MEDI
Yang Yu, Tai Dinh, Fangyu Yu, Van-Nam Huynh
2017 — conf
Mining Periodic High Utility Sequential Patterns.
ACIIDS (1)
Tai Dinh, Van-Nam Huynh, Bac Le
2016 — conf
An Approach to Decrease Execution Time and Difference for Hiding High Utility Sequential Patterns.
IUKM
Minh Nguyen Quang, Ut Huynh, Tai Dinh, Nghia Hoai Le, Bac Le
2016 — conf
MHHUSP: An integrated algorithm for mining and Hiding High Utility Sequential Patterns.
KSE
Minh Nguyen Quang, Tai Dinh, Ut Huynh, Bac Le
2016 Misc conf
Mining Correlated High-Utility Itemsets Using the Bond Measure.
HAIS
Philippe Fournier-Viger, Jerry Chun-Wei Lin, Tai Dinh, Hoai Bac Le
2015 — conf
A Novel Approach for Hiding High Utility Sequential Patterns.
SoICT
Tai Dinh, Minh Nguyen Quang, Bac Le