Takato Honda (本田 崇人)

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Takato Honda

I am a specially appointed assistant professor at Osaka University, Japan. My research focuses on time-series tensor mining for IoT sensor sequences.
Contact me: takato@sanken.osaka-u.ac.jp

Affiliation

Sakurai Laboratory
Artificial Intelligence Research Center
The Institute of Scientific and Industrial Research
Osaka University
Mihogaoka 8-1, Ibaraki, Osaka 567-0047, Japan

Projects

Conferences (Recently)

Non-Linear Mining of Social Activities in Tensor Streams (KDD'20)
[code] [paper] [slide]
Koki Kawabata, Yasuko Matsubara, Takato Honda, Yasushi Sakurai: ``Non-Linear Mining of Social Activities in Tensor Streams”, In Proceedings of The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’20, to appear).
Multi-Aspect Mining of Complex Sensor Sequences (ICDM'19)
[code] [paper] [slide]
Takato Honda, Yasuko Matsubara, Ryo Neyama, Mutsumi Abe, Yasushi Sakurai: ``Multi-Aspect Mining of Complex Sensor Sequences”, IEEE International Conference on Data Mining (ICDM), pp. 299-308, Beijing, China, November 8-11, 2019 (Regular paper) (Acceptance ratio 9.08%).
Automatic Mining of Large IoT Sensor Tensor (ICDM'18 Workshop)
[paper]
Takato Honda, Yasuko Matsubara, Yasushi Sakurai: ``Automatic Mining of Large IoT Sensor Tensor", IEEE International Conference on Data Mining (ICDM) Ph.D. Forum, Singapore, November 17-20, 2018.
Automatic Mining of Geographical Complex Sequences (SIGMOD'16 Workshop)
[paper]
Takato Honda: ``TrailMarker: Automatic Mining of Geographical Complex Sequences", ACM SIGMOD International Conference on Management of Data (SIGMOD), Ph.D. Symposium, San Francisco, USA, June 2016.


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