SEKI Hirohisa

写真a

Affiliation Department etc.

Department of Computer Science
Department of Computer Science

Title

Professor(Moving Out or Retirement)

Mail Address

E-mail address

Graduating School

  •  
    -
    1979.03

    The University of Tokyo   Faculty of Engineering   Graduated

Graduate School

  •  
    -
    1981.03

    The University of Tokyo  Graduate School, Division of Engineering  Master's Course  Completed

Degree

  • The University of Tokyo -  Doctor of Engineering

  • The University of Tokyo -  Master of Engineering

External Career

  • 1989.04
    -
    1992.03

    Central Research Lab., Mitsubishi Electric Corp.  

  • 1985.04
    -
    1989.03

    Institute of New Generation Computer Technology   Researcher  

  • 1981.04
    -
    1985.03

    Central Research Lab., Mitsubishi Electric Corp.   Researcher  

Academic Society Affiliations

  •  
     
     

    the Japan Society for Industrial and Applied Mathematics

  •  
     
     

    Information Processing Society of Japan

  •  
     
     

    Japanese Society for Artificial Intelligence

  •  
     
     

    The Institute of Electronics, Information and Communication Engineers

  •  
     
     

    Japan Society for Software Science and Technology

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Field of expertise (Grants-in-aid for Scientific Research classification)

  • Intelligent informatics

  • Theory of informatics

 

Research Career

  • Study on Computational Logic

    Individual   Grant-in-Aid for Scientific Research  

    Project Year:  2009.04  -  2012.03

    We study the methodologies of computational logic for constructing secure systems.

  • Study on Relational Data Mining

    Ordinary Research  

    Project Year:  2007.04  -  2007.04

    We study an efficient algorithm for enumerationg frequent patterns in relational data mining.

Papers

  • A CbO-based Algorithm for Mining Class Relevant Patterns

    Hirohisa Seki, Taiki Yamada

    Proc. 15th Int'l. Conf. on Concept Lattices and Their Applications (CLA 2020)     223 - 234   2020.06  [Refereed]

    Research paper (international conference proceedings)   Multiple Authorship

  • On Term Similarity Measures for Short Text Classification

    Hirohisa Seki, Shuhei Toriyama

    Proc. 2019 IEEE 10th Int'l. Workshop on Computational Intelligence and Applications (IWCIA 2019)     53 - 58   2019.11  [Refereed]

    Research paper (international conference proceedings)   Multiple Authorship

  • A New Algorithm for Mining Recurrent Rules from a Sequence Database

    Hirohisa Seki, SeungYong Yoon

    Proc. 2019 IEEE Int'l. Conf. on Systems, Man and Cybernetics (SMC 2019)     1932 - 1937   2019.10  [Refereed]

    Research paper (international conference proceedings)   Multiple Authorship

  • A Parallel Algorithm for Mining Non-Redundant Recurrent Rules from a Sequence Database

    Seung-Yong Yoon, Hirohisa Seki

    Journal of Advanced Computational Intelligence and Intelligent Informatics   23 ( 5 ) 956 - 961   2019.09  [Refereed]  [Invited]

    Research paper (scientific journal)   Multiple Authorship

  • Efficient Mining of Recurrent Rules from a Sequence Database Using Multi-Core Processors

    SeungYong Yoon, Hirohisa Seki

    Proc. Joint 10th Int’l. Conf. on Soft Computing and Intelligent Systems and 19th Int’l Symp. on Advanced Intelligent Systems     1 - 6   2018.12  [Refereed]

    Research paper (international conference proceedings)   Multiple Authorship

  • Parallel Algorithms for Enumerating Closed Patterns from Multi-Relational Data

    Hirohisa Seki, Masahiro Nagao

    Discrete Applied Mathematics ( Elsevier )  249   120 - 134   2018.11  [Refereed]  [Invited]

    Research paper (scientific journal)   Multiple Authorship

  • Mining Correlated Association Rules from Multi-Relational Data using Interval Patterns

    Hirohisa Seki, Masahiro Nagao

    Proc. 14th Int'l. Conf. on Concept Lattices and Their Applications (CLA 2018)     47 - 58   2018.06  [Refereed]

    Research paper (international conference proceedings)   Multiple Authorship

  • An FCA Approach to Mining Quantitative Association Rules from Multi-Relational Data

    Masahiro Nagao, Hirohisa Seki

    International Journal of Computational Intelligence Studies ( Inderscience Publishers )  6 ( 4 ) 366 - 383   2018.01  [Refereed]  [Invited]

    Research paper (scientific journal)   Multiple Authorship

  • Mining Non-Redundant Recurrent Rules from a Sequence Database

    SeungYong Yoon, Hirohisa Seki

    International Journal of Computational Intelligence Studies ( Inderscience Publishers )  7 ( 3/4 ) 253 - 269   2018  [Refereed]  [Invited]

    Research paper (scientific journal)   Multiple Authorship

  • Towards Efficient Mining of Non-Redundant Recurrent Rules from a Sequence Database

    SeungYong Yoon, Hirohisa Seki

    Proc. 2017 IEEE 10th Int'l. Workshop on Computational Intelligence and Applications (IWCIA 2017)     141 - 146   2017.11  [Refereed]

    Research paper (international conference proceedings)   Multiple Authorship

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Books

  • Formal Aspects of Computing, Extended versions of LOPSTR 14

    Maurizio Proietti, Hirohisa Seki, Jim Woodcock (Part: Joint Editing and Writing )

    Springer-Verlag  2017.01

  • Logic-Based Program Synthesis and Transformation, 24th International Symposium, LOPSTR2014

    Maurizio Proietti, Hirohisa Seki (Part: Joint Editing and Writing )

    Springer-Verlag  2015.04

  • Pre-Proceedings of 24th Int'l. Symp. on Logic-Based Program Synthesis and Transformation (LOPSTR2014)

    Maurizio Proietti, Hirohisa Seki (Part: Joint Editing and Writing )

    Istituto Di Analisi Dei Sistemi Ed Informatica, CNR  2014.09

  • Artificial Intelligence:A Modern Approach

    (Part: Multiple Authorship )

    Kyoritsu Syuppan  1997.04

  • Handbook of Automated Programming

    (Part: Multiple Authorship )

    Ohm-sha  1989.04

Presentations

  • Evaluating term expansion methods for classifying short text data

    Shuhei Toriyama, Hirohisa Seki

    18th Workshop on Informatics  2020.11  -  2020.11 

  • A CbO-based Algorithm for Mining Class Relevant Patterns

    Hirohisa Seki, Taiki Yamada

    15th Int'l. Conf. on Concept Lattices and Their Applications (CLA 2020)  (Tallin, Estonia (virtual conference))  2020.06  -  2020.07 

  • On Term Similarity Measures for Short Text Classification

    Hirohisa Seki, Shuhei Toriyama

    2019 IEEE Int'l. Workshop on Computational Intelligence and Applications (IWCIA)  (Hiroshima, Japan)  2019.11  -  2019.11 

  • A New Algorithm for Mining Recurrent Rules from a Sequence Database

    Hirohisa Seki, SeungYong Yoon

    2019 IEEE Int'l. Conf. on Systems, Man and Cybernetics (SMC 2019)  (Bari, Italy)  2019.10  -  2019.10 

  • Evaluating Text Expansion Methods for Short Text Classification

    Shuhei Toriyama, Hirohisa Seki

    the 81st National Convention of IPSJ  2019.03  -  2019.03 

  • Efficient Mining of Recurrent Rules from a Sequence Database Using Multi-Core Processors

    SeungYong Yoon, Hirohisa Seki

    Joint 10th Int’l. Conf. on Soft Computing and Intelligent Systems and 19th Int’l Symp. on Advanced Intelligent Systems (SCIS&ISIS 2018)  (Toyama, Japan)  2018.12  -  2018.12 

  • Mining Correlated Association Rules from Multi-Relational Data using Interval Patterns

    Hirohisa Seki, Masahiro Nagao

    14th Int'l. Conf. on Concept Lattices and Their Applications (CLA 2018)  (Olomouc, Czech)  2018.06  -  2018.06 

  • Towards Efficient Mining of Non-Redundant Recurrent Rules from a Sequence Database

    SeungYong Yoon, Hirohisa Seki

    2017 IEEE Int'l. Workshop on Computational Intelligence and Applications (IWCIA)  (Hiroshima, Japan)  2017.11  -  2017.11 

  • Parallel Mining of Non-Redundant Recurrent Rules from a Sequence Database

    SeungYong Yoon, Hirohisa Seki

    18th Int’l Symp. on Advanced Intelligent Systems (ISIS 2017)  (Daegu, Republic of Korea)  2017.10  -  2017.10 

  • An Efficient Java Implementation of a GA-based Miner for Relational Association Rules with Numerical Attributes

    Hirohisa Seki, Masahiro Nagao

    2017 IEEE Int'l. Conf. on Systems, Man and Cybernetics (SMC 2017)  (Banff, Canada)  2017.10  -  2017.10 

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