Kyushu University Academic Staff Educational and Research Activities Database
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Ikeda Daisuke Last modified date:2024.06.03



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Homepage
https://kyushu-u.elsevierpure.com/en/persons/daisuke-ikeda
 Reseacher Profiling Tool Kyushu University Pure
Academic Degree
Doctor of Science
Country of degree conferring institution (Overseas)
No
Field of Specialization
Informatics
ORCID(Open Researcher and Contributor ID)
https://orcid.org/0000-0002-8420-1699
Total Priod of education and research career in the foreign country
00years01months
Outline Activities
Research: My research interest is e-Science, science using ICT, via the following three viewpoints:
1. recursive approach using data,
2. deductive approach using computer simulation, and
3. research about infrastructures for e-Science.

In case of 1, we mainly deal with text data (mainly on the Web), time series data, access logs, social graphs, and so on.
In case of 2, we mainly deal with topics from social science, such as mechanism of popularity and indirect reciprocity.
In case of 3, we develop an information sharing system based on an open-source SNS system,
theoretical researches about authentication or authorization,
developing institutional repositories and digital libraries
which supports dissemination of scholarly contents.

Education:
Research
Research Interests
  • Research on Data Repositories as Scholarly Communication Platform
    keyword : data repository, institutional repository, open science, open data
    2013.01.
  • Research on Discovery of Scientific Findings with Data-intensive science

    keyword : Scientific data, Machine learning, time-series data
    2010.01.
  • Web Mining
    keyword : semi-structured data, blog, microblog, community
    1999.01.
  • research on institutional repositories
    keyword : Institutional Repositories, Scholarly Commiunication
    2007.04.
  • Exceptional Pattern Discovery
    keyword : Exceptional Pattern, Spam Detection, Genome Sequences
    2007.04.
  • research on authentication and authorization systems
    keyword : authentication, authorization, privacy protection, smart cards, operational costs
    2008.04~2011.03.
  • Research on Digital Library
    keyword : Digital Library, RFID
    2005.05~2008.03.
  • Frequent Pattern Maining from Text Data
    keyword : Text, String Amplification, Zipf Law, Spam Detection
    2001.03~2013.01.
Academic Activities
Papers
1. Daisuke Ikeda, Kun Qian, Kengo Nawata , A Theoretical Framework for Disruptive Changes Based on Information Dissemination
, IIAI Letters on Institutional Research , 2023.08.
2. Daisuke Ikeda, Einoshin Suzuki, Finding Peculiar Compositions of Two Frequent Strings with Background Texts, Journal of Knowledge and Information Systems, 10.1007/s10115-013-0688-9, 2013.09.
3. Daisuke Ikeda, Mining Infrequent Patterns of Two Frequent Substrings from a Single Set of Biological Sequences, Proceedings of the 2013 International Conference on Parallel and Distributed Processing Techniques and Applications, 1, 136-142, 2013.07.
4. Daisuke Ikeda, Osamu Maruyama, Satoru Kuhara, Infrequent, Unexpected, and Contrast Pattern Discovery from Bacterial Genomes by Genome-wide Comparat ive Analysis, 4th International Conference on Bioinformatics Models, Methods and Algorithms, 308-311, 2013.02.
5. Daisuke Ikeda, Kota Sakoda, Tetsuya Oishi, Sozo Inoue, Requirement Analysis for Systems Supporting Research Communications in Various Disciplines, 2010.07, [URL].
6. Daisuke Ikeda and Einoshin Suzuki, Mining Peculiar Compositions of Frequent Substrings from Sparse Text Data Using Background Texts, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) Part I Lecture Notes in Artificial Intelligence 5781, 596-611, 2009.09.
7. Daisuke Ikeda and Sozo Inoue, Access Flows to a Repository from Other Services, The 4th International Conference on Open Repositories, 2009.05.
8. Daisuke Ikeda and Sozo Inoue, A Sustainable Model based on the Social Network Service to Support the Research Cycle, The 3rd International Conference on Open Repositories,, 2008.04.
9. Daisuke Ikeda and Sozo Inoue, A New, Sustainable Model for the Institutional Repository: A CSI Project "Integration and Presentation of Diverse Information Resources", DRF International Conference Open Access and Institutional Repository in Asia-Pacific, p58, 2008.01.
Presentations
1. Linshuo Yang, Daisuke Ikeda, The Impact of Language Properties in Multilingual Datasets on Sarcasm Detection, 16th International Conference on E-Service and Knowledge Management, 2022.09.
2. Daisuke Ikeda , A Theoretical Background for DX Based on Information Dissemination, 2nd International Symposium on Applied Informatics and Innovations, 2022.09.
3. Daisuke Ikeda, A STEM WORKSHOP FOR KIDS IN EARLY ELEMENTARY SCHOOL GRADES ABOUT SAMPLING THEOREM OF INFORMATION THEORY , 18th annual International Technology, Education and Development Conference (INTED2024), 2019.03.
4. Daisuke Ikeda, Text Mining with Variety and Frequency, 第28回MRS日本年次大会国際ワークショップ「先端プラズマ技術が拓くナノマテリアルズフロンティア」, 2018.12, The recent progress of information technologies enables researchers to use such a technology in their disciplines. In particular, machine learning have attracted great attention on account of recent great successes of deep learning.
Because major machine learning frameworks assume definite criteria for learning, they are useful for well-defined problems. On the other hand, typical data mining approaches try to find interesting patterns in data, and thus it is useful to exploratively find a hypothesis.
Compared to machine learning, which has its solid theoretical background, data mining does not have a unified framework and many heuristics methods have been developed depending on target problems. For example, counting of target data, such as words in texts, is a basic method, but it is difficult to find interesting patterns because frequent ones are obvious and infrequent are abundant.
In this talk, a simple framework is proposed, where some variety is introduced in addition to frequency of data, and it can lead finding interesting patterns, such as regions related to horizontal gene transfer in DNA sequences without knowledge of this domain..
5. Daisuke Ikeda, EXTEND LECTURES FOR KIDS ABOUT INFORMATION INTO SAMPLING THEOREM AND THE FOURIER TRANSFORM
, 13th annual International Technology, Education and Development Conference (INTED2019), 2019.03.
6. Daisuke Ikeda, Toward Improving Research Processes using Big Data, 2nd Asia-Pacific Conference on Plasma Physics, 2018.11, マテリアル科学において、様々な条件で実験を行い、最適なパラメータを決定する必要がある。しかし、一回の実験には多大なコストと時間がかかるため、ICTを用いてこれをサポート
することが望まれている。本発表では、ガウス過程と呼ばれる非線形回帰の手法を用いて、最適な実験パラメータを見つける手段を説明する。.
7. Daisuke Ikeda, LESSONS ON INFORMATION IN TERMS OF THE FOURIER TRANSFORM FOR PRIMARY-AGED STUDENTS, 12th annual International Technology, Education and Development Conference (INTED2019), 2019.03.
8. Daisuke Ikeda, Mining Infrequent Patterns of Two Frequent Substrings from a Single Set of Biological Sequences, 2013 International Conference on Parallel and Distributed Processing Techniques and Applications, 2013.07.
9. Daisuke Ikeda, Osamu Maruyama, Satoru Kuhara, Infrequent, Unexpected, and Contrast Pattern Discovery from Bacterial Genomes by Genome-wide Comparat ive Analysis, 4th International Conference on Bioinformatics Models, Methods and Algorithms, 2013.02.
Membership in Academic Society
  • The Database Society of Japan
  • European Association for Theoretical Computer Science (EATCS)
  • Association for Computing Machinery (ACM)
  • Information Processing Society of Japan
  • Research Association of Statistical Sciences