Takato Honda (本田 崇人), Ph.D.

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Takato Honda, Ph.D.

Takato Honda is a data scientist in Japan. My research focuses on time-series tensor mining for IoT sensor sequences.
Contact me:
hndtkt.c@gmail.com

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).
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%).


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