ディン・ズイ・タイ

**ディン・ズイ・タイ**（Dinh Duy Tai）はベトナム国立大学ホーチミン市科学大学（US-VNUHCM）情報システム修士、北陸先端科学技術大学院大学（JAIST）知識科学博士の知識科学研究者で、「Data science」「Data mining」「Machine learning」を専門分野とする。京都情報大学院大学准教授。知識科学は、「知識創造」という切り口で自然科学、社会科学や人文科学の各分野の学問を融合し、知識の創造・蓄積・活用のメカニズムの探求と、未来社会のデザインを目指す新しい研究領域である。

## 経歴
*MSc in Information Systems, US-VNUHCM
*北陸先端科学技術大学院大学博士後期課程修了, 博士（知識科学）
*元国立大学法人北陸先端科学技術大学院大学研究員
*京都情報大学院大学准教授

## 業績

### 学術論文
*Tai Dinh, Wong Hauchi, Daniil Lisik, Michal Koren, Dat Tran, S.Yu Philip, Joaquín Torres-Sospedra. "Data clustering: an essential technique in data science and management". Data Science and Management, 2025.
*Tai Dinh, Wong Hauchi, Philippe Fournier-Viger, Daniil Lisik, Minh-Quyet Ha, Hieu-Chi Dam, Van-Nam Huynh. "Categorical data clustering: 25 years beyond K-modes". Expert Systems with Applications 272, 126608, 2025.
*Daniil Lisik, Rani Basna, Tai Dinh, Christian Hennig, Syed Ahmar Shah, G¨oran Wennergren, Emma Goks¨or, Bright I Nwaru. "Artificial intelligence in pediatric allergy research". European journal of pediatrics, pages1-20, 2025.
*Thu-Hien Thi Nguyen, Duy-Tai Dinh, Songsak Sriboonchitta, and Van-Nam Huynh. "A method for k-means-like clustering of categorical data". Journal of Ambient Intelligence and Humanized Computing, volume14, number11, pages15011-15021, 2019.  DOI:10.1007/s12652-019-01445-5
*Yang Yu, Duy-Tai Dinh, Ba-Hung Nguyen, Fangyu Yu, Van-Nam Huynh. "Mining Insights from Esports Game Reviews with an Aspect-Based Sentiment Analysis Framework". IEEE Access, volume11, pages61161-61172, 2023.  
*Hirosuke Matsui, Yuta Muramoto, Takashi Kakubo, Naoya Amino, Tomoya Uruga, MinhQuyet Ha, Duy-Tai Dinh, Hieu-Chi Dam, and Mizuki Tada. "Machine-learning-revealed reaction statistics via 3D spectroimaging for copper sulfidation of adhesive layers in rubber/brass composite". Communications Materials(Nature)4, 88, 2023.  DOI:10.21203/rs.3.rs-2677133/v1
*Tai Dinh, Philippe Fournier-Viger, Huynh Van Hong. "Mining compact high utility sequential Patterns". Nippon(Japan) Applied Informatics Society, volume17, pages45-57, 2023.
*Duy-Tai Dinh, Van-Nam Huynh, and Songsak Sriboonchitta. "Clustering mixed numeric and categorical data with missing values". Information Sciences, volume571, pages418-442, 2021.  DOI:10.1016/j.ins.2021.04.076
*Ut Huynh, Bac Le, Duy-Tai Dinh, Hamido Fujita. "Multi-core parallel algorithms for hiding high-utility sequential patterns". Knowledge-based systems, pages107793, 2021. DOI:10.1016/j.knosys.2021.107793
*Duy-Tai Dinh, and Van-Nam Huynh. "k-PbC: An improved cluster center initialization for categorical data clustering". Applied Intelligence, volume50, pages2610-2632, 2020.  DOI:10.1007/s10489-020-01677-5
*Nhat-Vinh Lu, Trong-Nhan Vuong, Duy-Tai Dinh. "Combining correlation-based feature and machine learning for sensory evaluation of saigon beer". International Journal of Knowledge and Systems Science(IJKSS), pages71-85, 2020.  DOI:10.4018/ijkss.2020040104
*Philippe Fournier-Viger, Jerry Chun-Wei Lin, Yimin Zhang, Duy-Tai Dinh, Hoai Bac Le. "Mining correlated high-utility itemsets using various measures". Logic Journal of the IGPL, Oxford University Press, 2020.  DOI:10.1093/jigpal/jzz068
*Dinh,Duy Tai「カテゴリカルデータおよび混合データにおけるクラスタリングアルゴリズムの効果」, 博士論文(知識科学), 甲第1175号, 北陸先端科学技術大学院大学, 2020-03-25 
*Duy-Tai Dinh, Bac Le, Philippe Fournier-Viger, and Van-Nam Huynh. "An effcient algorithm for mining periodic high-utility sequential patterns". Applied Intelligence, volume48, pages4694-4714, 2018.  DOI:10.1007/s10489-018-1227-x
*Bac Le, Duy-Tai Dinh, Van-Nam Huynh, Quang-Minh Nguyen, and Philippe Fournier-Viger. "An efficient algorithm for hiding high utility sequential patterns". International Journal of Approximate Reasoning, volume95, pages77-92, 2018.  DOI:10.1016/j.ijar.2018.01.005
*Bac Le, Ut Huynh, and Duy-Tai Dinh. "A pure array structure and parallel strategy for high-utility sequential pattern mining". Expert Systems with Applications, volume104, pages107-120, 2018.  DOI:10.1016/j.eswa.2018.03.019

### 国際会議
*Rameesh Khan, Zdena Dobesova, Yu Yang, Tai Dinh. "Enhanced Feature-based Clustering for Urban Land Use Pattern Detection". The 16th International Conference on Knowledge and Systems Engineering 2024, 5-7 November 2024, Kuala Lumpur, Malaysia. DOI:10.1109/KSE63888.2024.11063614
*Yang Yu, Duy-Tai Dinh, Fangyu Yu and Van-Nam Huynh. "Understanding Mobile Game Reviews Through Sentiment Analysis: A Case Study of PUBGm". 12th International Conference on Model and Data Engineering(MEDI 2023), pages102-115, Springer, 2023. DOI:10.1007/978-3-031-49333-1_8
*Yang Yu, Ba Hung Nguyen, Duy-Tai Dinh, Fangyu Yu, Tsutomu Fujinami, Van Nam Huynh. "A Topic Modeling Approach for Exploring Attraction of Dark Souls Series Reviews on Steam". Intelligent Human Systems Integration(IHSI 2022) Integrating People and Intelligent Systems, University of Venice, Venice, Italy, February 22-24, 2022. DOI:10.54941/ahfe1001077 
*Duy-Tai Dinh, Tsutomu Fujinami, and Van-Nam Huynh. 2"Estimating the optimal number of clusters in categorical data clustering by silhouette coefficient". Twentieth International Symposium on Knowledge and Systems Sciences(KSS 2019), pages1-17, Springer, 2019.  DOI:10.1007/978-981-15-1209-4_1
*Duy-Tai Dinh, and Van-Nam Huynh. "k-CCM: A center-based algorithm for clustering categorical data with missing values". Fifteenth International Conference on Modeling Decisions for Artificial Intelligence(MDAI 2018), pages267-279, Springer, 2018.  DOI:10.1007/978-3-030-00202-2_22
*Thanh-Phu Nguyen, Duy-Tai Dinh, and Van-Nam Huynh. "A new context-based clustering framework for categorical data". Fifteenth Pacific Rim International Conference on Artificial Intelligence(PRICAI 2018), pages697-709, Springer, 2018.  DOI:10.1007/978-3-319-97304-3_53
*Duy-Tai Dinh, Van-Nam Huynh, and Bac Le. "Mining periodic high utility sequential patterns". Ninth Asian Conference on Intelligent Information and Database Systems, pages545-555, Springer, 2017. DOI:10.1007/978-3-319-54472-4_51 
*Minh Nguyen Quang, Ut Huynh, Duy-Tai Dinh, Nghia Hoai Le and Bac Le. "An Approach to Decrease Execution Time and Difference for Hiding High Utility Sequential Pattern". Fifth International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making(IUKM 2016), pages435-446, Springer, 2016. DOI:10.1007/978-3-319-49046-5_37
*Minh Nguyen Quang, Duy-Tai Dinh, Ut Huynh, Bac Le, "MHHUSP: An integrated algorithm for mining and Hiding High Utility Sequential Patterns". Eighth International Conference on Knowledge and Systems Engineering(KSE 2016), pages13-18, Springer, 2016. DOI:10.1109/KSE.2016.7758022
*Philippe Fournier-Viger, Jerry Chun-Wei Lin, Duy-Tai Dinh and Hoai Bac Le. "Mining Correlated High-Utility Itemsets Using the Bond Measure". Eleventh International Conference on Hybrid Artificial Intelligence Systems(HAIS 2016), pages53-65, Springer, 2016. DOI:10.1007/978-3-319-32034-2_5
*Duy-Tai Dinh, Minh Nguyen Quang, Bac Le. "A Novel Approach for Hiding High Utility Sequential Patterns". Sixth International Symposium on Information and Communication Technology(SoICT 2015), pages121-128, ACM, 2015. DOI:10.1145/2833258.2833271

### 分担執筆
*Duy-Tai Dinh, Van-Nam Huynh, Bac Le, Philippe Fournier-Viger, Ut Huynh, Quang-Minh Nguyen. "A survey of privacy preserving utility mining", High-Utility Pattern Mining, pages207-232, Springer, 2019.
*Ut Huynh, Duy-Tai Dinh, Bac Le, Van-Nam Huynh. "Mining Periodic High-Utility Sequential Patterns with Negative Unit Profits". Periodic Pattern Mining: Theory, Algorithms and Applications, pages153-170, Springer, 2021. DOI:10.1007/978-981-16-3964-7_9
*Ut Huynh, Duy-Tai Dinh, Bac Le. "Hiding Periodic High-Utility Sequential Patterns". Periodic Pattern Mining: Theory, Algorithms and Applications, pages171-189, Springer, 2021. DOI:10.1007/978-981-16-3964-7_10
*Philippe Fournier-Viger, Youxi Wu, Duy-Tai Dinh, Wei Song, Jerry Chun-Wei Lin. "Discovering periodic high utility itemsets in a discrete sequence". Periodic Pattern Mining: Theory, Algorithms and Applications, pages133-151, Springer, 2021. DOI:10.1007/978-981-16-3964-7_8
*Duy-Tai Dinh, Duong-Nguyen Nguyen, Hieu-Chi Dam. "On the nature of mixed-type features in materials datasets". Pacifichem 2021: A Creative Vision for the Future, December 16-21, 2021, Virtual.  DOI:10.5281/zenodo.4474847 DOI:10.5281/zenodo.4474848

## 出典


## 外部リンク
* ディン・ズイ・タイ | 京都情報大学院大学