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Personal profile

Education/Academic qualification

Software Engineering, Personal Software Process Instructor

Fingerprint Dive into the research topics where Tsunenori Mine is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Students Engineering & Materials Science
Information retrieval Engineering & Materials Science
Information Retrieval Mathematics
Semantic Web Engineering & Materials Science
World Wide Web Engineering & Materials Science
Information retrieval systems Engineering & Materials Science
Websites Engineering & Materials Science
Communication Engineering & Materials Science

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Research Output 2000 2019

Does crime activity report reveal regional characteristics?

Mine, T., Hirokawa, S. & Suzuki, T., Jan 1 2019, Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, IMCOM 2019. Lee, S., Choo, H. & Ismail, R. (eds.). Springer Verlag, p. 582-598 17 p. (Advances in Intelligent Systems and Computing; vol. 935).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Crime

Prediction of Bus Delay over Intervals on Various Kinds of Routes Using Bus Probe Data

Yamaguchi, T., As, M. & Mine, T., Jan 9 2019, Proceedings - 5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2018. Spillner, J. & Sill, A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 97-106 10 p. 8606640. (Proceedings - 5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Travel time
Decision trees
travel
learning
1 Citation (Scopus)

Dynamic bus travel time prediction using an ANN-based model

As, M. & Mine, T., Jan 5 2018, Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018. Association for Computing Machinery, 20. (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Travel time
Neural networks
Time series

Estimation of Travel Time Variability Using Bus Probe Data

As, M., Mine, T. & Nakamura, H., Nov 26 2018, 6th IEEE International Conference on Advanced Logistics and Transport, ICALT 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 199-204 6 p. 8547006. (6th IEEE International Conference on Advanced Logistics and Transport, ICALT 2017 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Travel Time
Travel time
Probe
travel
Interval
1 Citation (Scopus)

Is SVM+FS better to satisfy decision by majority?

Lin, Y., Yamaguchi, K., Mine, T. & Hirokawa, S., Jan 1 2018, Recent Advances on Soft Computing and Data Mining - Proceedings of the 3rd International Conference on Soft Computing and Data Mining SCDM 2018. Abawajy, J. H., Ghazali, R., Deris, M. M. & Nawi, N. M. (eds.). Springer Verlag, p. 261-271 11 p. (Advances in Intelligent Systems and Computing; vol. 700).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Support vector machines
Learning systems
Feature extraction