Kenta Komoto

甲本 健太

JP EN

Affiliation: Master's Program in Mathematical Informatics, Graduate School of Informatics, Nagoya University

Research interests: Graph algorithms, enumeration algorithms, and data mining.

Contact: contact@pwll.dev

Research

International Workshops and Meetings

  1. Kenta Komoto, Kazuhiro Kurita, Hirotaka Ono. “The Hardness of Frequent Ordered Tree Mining on Bounded-Height Trees”. The 26th Korea–Japan Joint Workshop on Algorithms and Computation (WAAC2026). 2026.
  2. Kenta Komoto, Kazuhiro Kurita, Hirotaka Ono. “On the Complexity of Maximal/Closed Frequent Tree Mining for Bounded Height Trees”. International Workshop on Discrete Mathematics and Algorithms 2026 (DMA2026). 2026.

Domestic Workshops and Meetings

  1. Kenta Komoto, Kazuhiro Kurita, Hirotaka Ono. “On the Complexity of Maximal/Closed Frequent Tree Mining for Bounded Height Trees”. Enumeration Algorithms Seminar, 2026.
  2. Kenta Komoto, Kazuhiro Kurita, Hirotaka Ono. “On the Complexity of Maximal/Closed Frequent Tree Mining for Bounded Height Trees”. 207th Algorithms Research Meeting, 2026.
  3. Kenta Komoto, Kazuhiro Kurita, Hirotaka Ono. “Computational Complexity of Maximal/Closed Frequent Subtree Mining for Rooted Trees with Constant Height”. 205th Algorithms Research Meeting, 2025.
  4. Kenta Komoto, Kazuhiro Kurita, Hirotaka Ono. “Polynomial-delay Enumeration of Frequent Closed Subtrees in Rooted Trees of Height 2”. LA Symposium Summer 2025, 2025.
  5. Kenta Komoto, Kazuhiro Kurita, Hirotaka Ono. “Computational Complexity of Maximal Frequent Subtree Mining for Labeled Trees”. Enumeration Algorithms Seminar, 2025.
  6. Kenta Komoto, Kazuhiro Kurita, Hirotaka Ono. “Computational Complexity of Maximal Frequent Induced Subtree Mining for Labeled Trees”. 52nd Chubu Branch Conference of the Operations Research Society of Japan, 2025.

Preprint

  1. Kenta Komoto, Kazuhiro Kurita, Hirotaka Ono. “On the Complexity of Maximal/Closed Frequent Tree Mining for Bounded Height Trees”. arXiv

Experience

Graduated from the Department of Natural Science Informatics, School of Informatics, Nagoya University.

Industry Experience

Projects