Kyushu University Academic Staff Educational and Research Activities Database
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Tsunenori Mine Last modified date:2023.11.05

Graduate School
システム情報科学府 高度ICT人材教育開発センター 教育基盤研究部門
Undergraduate School
Administration Post

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 Reseacher Profiling Tool Kyushu University Pure
Tsunenori Mine .
Academic Degree
Dr Engineering
Country of degree conferring institution (Overseas)
Field of Specialization
Artificial Intelligence, Multi-Agent Systems, Data Mining, Text Mining, Information Sharing, Information Retrieval, Information Recommendation, Personalized System
ORCID(Open Researcher and Contributor ID)
Total Priod of education and research career in the foreign country
Outline Activities
My research interests are natural language processing, information retrieval, information extraction,
collaborative filtering, semantic Web and multi-agent systems.
Research Interests
  • Research and Development of Intelligent Chatbot systems
    keyword : Chatbot, dialogue system, deep learning, machine learning, text mining, natural language processing
  • Prediction of Travel Time or Delay Time using Probe Data
    keyword : Data Mining, Travel Time, Delay Time, Probe Data, Intelligent Transport Systems
  • Study on Open Data Mining to Proceed Government 2.0
    keyword : Open Data, Data Mining, Text Mining, Government 2.0
  • Study on Improvement of Learners Learning Performance using Comment Mining
    keyword : Estimation of Learning Situation, Improvement of Learning Performance, Feedback Generation, Comment Mining
  • ItoCamLife : An Information Sharing and Recommendation Platform to Support Smart Mobility at Ito Campus, Kyushu University
    keyword : Information Sharing, Information Recommendation, Smart Mobility, ItoCamLife, Data Mining
  • Development of Reciprocal Recommendation System Toward Intelligent Job Matching
    keyword : Reciprocal Recommendation, Job Matching, Personalization, MultiAgent
  • Development of Personalized Transit Recommendation based on User Situation
    keyword : Information Recommendation, Transit Recommendation, Personalization, User Context
  • a study of effective and quantitative measurement, refinement and assesment of students' process for their project-based-learning
    keyword : Project-based-learning, quantitative assessment, system development process
  • Research on Agent-Community-based Personalized Information Retrieval
    keyword : MultiAgents, Information Retrieval, Personalization, Agent Community
  • Agent-Community-based Peer-to-Peer Information Retrieval
    keyword : Peer-to-Peer, Information Retrieval, Multiagent Systems
  • Research on Multi-agent-based Intelligent Information Retrieval Systems
    keyword : Peer-to-Peer, Information Retrieval, Multiagent Systems
Academic Activities
1. Shaowen Peng, Kazunari Sugiyama and Tsunenori Mine, Less is More: Reweighting Important Spectral Graph Features for Recommendation, ACM SIGIR 2022, 1273-1282, 2022.07, [URL].
2. Menna Fateen, Kyouhei Ueno, Tsunenori Mine, An Improved Model to Predict Student Performance Using Teacher Observation Reports, 29TH INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION 2021, 1, 31-40, 2021.11.
3. Jihed Makhlouf, Tsunenori Mine, Analysis of Click-Stream Data to Predict STEM Careers from Student Usage of an Intelligent Tutoring System, Journal of Educational Data Mining, 10.5281/zenodo.4008050, 12, 2, 1-18, 2020.08, [URL].
4. Jihed Makhlouf, Tsunenori Mine, Prediction Models for Automatic Assessment to Student Free-written Comments, CSEDU2020, 10.5220/0009580300770086, 77-86, 2020.05, [URL].
5. Jihed Makhlouf, Tsunenori Mine, Investigating Reading Behaviors within Student Reading Sessions to Predict their Performance, LAK19 Data Challenge International Workshop on Predicting Performance Based on the Analysis of Reading Behavior: A Data Challenge 2019, 2019.03, [URL].
6. Jihed Makhlouf, Tsunenori Mine, Investigating How School-Aggregated Data Can Influence in Predicting STEM Career from Student usage of an Intelligent Tutoring System, EDM 2018 Workshop on Scientific Findings from the ASSISTments Longitudinal Data (2018), 2018.07, [URL].
7. Jihed Makhlouf, Tsunenori Mine, Predicting if students will pursue a STEM career using School-Aggregated Data from their usage of an Intelligent Tutoring System, EDM(Educational Data Mining) 2018, 552-555, 2018.07, [URL].
8. Shaymaa Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa, A Predictive Model to Evaluate Students Performance, Journal of Information Processing, 10.2197/ipsjip.23.192, 23, 2, 192-201, 2015.02, [URL].
9. Tsunenori Mine, Hirotake Kobayashi, Applying user feedback and query learning methods to multiple communities, Proceedings of PRIMA 2009, 276-291, 2009.12.
10. Tsunenori Mine, Kosaku Kimura, Satoshi Amamiya, Ken'ichi Takahashi, Makoto Amamiya, Agent-Community-Network-Based Secure Collaboration Support System, Agent-Based Technologies and Applications for Enterprise Interoperability -- International Workshops, ATOP 2005, Utrecht, The Netherlands, July 25-26, 2005, and ATOP 2008, Estoril, Portugal, May 12-13, 2008, Revised Selected Papers --, Springer, 234-255, LNBIP 25, 2009.05.
11. Tsunenori Mine, Akihiro Kogo, Satoshi Amamiya, Makoto Amamiya, Refinement of the ACP2P by Sharing User-Feedbacks and Learning Query-Responder-Agent-Relationships
, The 8th International Conference on Autonomous Agents and MultiAgent Systems, 1341-1342, 2009.05.
12. Haibo Yu, Tsunenori Mine, Makoto Amamiya, Agent-Community-based P2P semantic MyPortal information retrieval system architecture, Journal of Embedded Computing (Selected papers of EUC2005), IOS Press, 3, 1, 63-75, 2009.01.
13. Tsunenori Mine, Akihiro Kogo, Makoto Amamiya, Agent-Community-Based Peer-to-Peer Information Retrieval and Its Evaluation, Systems and Computers in Japan, Wiley Periodicals, Inc., A Wiley Company,, vol.37, no.13, pp.1-10, 2006.11.
14. Tsunenori Mine, Daisuke Matsuno, Akihiro Kogo, Makoto Amamiya, Design and Implementation of Agent Community based Peer-to-Peer Information Retrieval Method, Eighth International Workshop CIA 2004 on Cooperative Information Agents, 3191, 31-46, LNAI volume 3191
Klusch, M.; Ossowski, S.; Kashyap, V.; Unland, R. (Eds.)
pp. 31-46, 2004.09.
15. T. Mine, T. Shoudai, A. Suganuma, Automatic Exercise Generator with Tagged Documents Considering Lerner's Performance, Proceedings of the WebNet2000, pp.779-780, 2000.11.
16. T. Mine, A. Suganuma, T. Shoudai, The Design and Implementation of Automatic Exercise Generator with Tagged Documents based on the Intelligence of Students:AEGIS, Proceedings of the ICCE/ICCAI 2000, pp.651-658, 2000.11.
17. T. Shoudai, A. Suganuma, T. Mine, AEGIS: Automatic Exercise Generator with Tagged Documents based on the Intelligence of the Students, Proceedings of the Fourth Joint Conference on Knowledge-Based Software Engineering (JCKBSE) 2000, 62, 311-314, pp.311--314, 2000.09.
18. G. Zhong, T. Mine, T. Helmy, M. Amamiya, The Design and Application of the KODAMA System, Proceedings of the Fourth Joint Conference on Knowledge-Based Software Engineering (JCKBSE) 2000, 62, 43-50, pp.43--50, 2000.09.
19. T. Helmy, T. Mine, M. Amamiya, Adaptive exploiting User Profile and Interpretation Policy for Searching and Browsing the Web on KODAMA system, Proceedings of the 2nd International Workshop on Natural Language and Information Systems(NLIS 2000),which is one of Eleventh International Workshops on Database and Expert Systems Applications, 120-124, pp.120--124, 2000.09.
20. T. Mine, M. Higashi, M. Amamiya, Case Frame Acquisition and Verb Sense Disambiguation on a Large Scale Electronic Dictionary, Proc. of NLPRS(Natural Language Processing Pacific Rim Sympo.)'97 in Phuket, Thailand, pp.221-226, 1997.12.
21. Tsunenori Mine, Daisuke Matsuno, Akihiro Kogo, Makoto Amamiya, ACP2P : Agent Community based Peer-to-Peer Information Retrieval, the Third International Workshop on Agents and Peer-to-Peer Computing (AP2PC) (joint Workshop of AAMAS), Agents and Peer-to-Peer Computing 2004
Volume Editors
Gianluca Moro, Sonia Bergamaschi and Karl Aberer
to appear.
Works, Software and Database
1. .
1. Takuya Kawatani, Eisuk Itoh, Sachio Hirokawa, Tsunenori Mine, Location does not always determine sudden braking, The 22nd IEEE International Conference on Intelligent Transportation Systems, 2019.10, [URL].
2. Shaymaa Sorour, Tsunenori Mine, Kazumasa Goda, Correlation of Topic Model and Student Grades Using Comment Data Mining, SIGCSE2015, 2015.03, [URL].
3. Shaymaa Sorour, Tsunenori Mine, Sachio Hirokawa, Kazumasa Goda, Predicting Students' grades based on free style Comments Data by Artificial Neural Network, The 44th Annual Frontiers in Education (FIE) Conference, 2014.10, [URL].
4. Shaymaa Sorour, Tsunenori Mine, Sachio Hirokawa, Kazumasa Goda, Efficiency of LSA and K-means in predicting Students' academic performance based on comments data, The 6th International Conference on Computer Supported Education (CSEDU2014), 2014.04.
5. Hiroyuki Nakamura, Tsunenori Mine, Dealing with Bus Delay and User History for Personalized Transportation Recommendation, The 2014 International Conference on Computational Science and Computational Intelligence, 2014.03.
6. Kazumasa Goda, Sachio Hirokawa, Tsunenori Mine, Correlation of Grade Prediction Performance and Validity of Self-Evaluation Comments, SIGITE, 2013.10.
Membership in Academic Society
  • IEEE
  • ACM
  • IPSJ
  • JSAI
  • NLP
Educational Activities
Programming I (to the 2nd year undergraduate students),
and Advanced Design of Software (to graduates).
Fundamentals of EECS I
Other Educational Activities
  • 2023.07.
  • 2022.12.
  • 2022.08.
  • 2023.03.
  • 2022.01.
  • 2021.07.
  • 2021.02.
  • 2021.06.
  • 2018.03.
  • 2017.08.
  • 2017.04.
  • 2016.09.
  • 2012.08.
  • 2006.07.