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Causality Mining from Event Sequence Data and Its Applications to Causality Discovery in Earthquakes and Damages

Research Project

Project/Area Number 15K16052
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Intelligent informatics
Research InstitutionOsaka University

Principal Investigator

Fukui Ken-ichi  大阪大学, 産業科学研究所, 准教授 (80418772)

Research Collaborator Okada Yoshiyuki  大阪大学, 大学院情報科学研究科, 大学院生
Sato Kazuki  大阪大学, 大学院情報科学研究科, 大学院生
Project Period (FY) 2015-04-01 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2017: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Keywordsデータマイニング / クラスタリング / 頻出パターン / ベイズ推定 / 弾性マッチング / 燃料電池 / 地震 / 発生相関 / 系列データ / 系列
Outline of Final Research Achievements

In this research, we proposed a new data mining algorithm, called Cluster Sequence Mining (CSM), which extracts occurrence correlation between events from multidimensional event series data. Furthermore, we extended the correspondence relation when calculating the time interval between events to one-to-many or many-to-one, by formulating as a minimum cost elastic matching problem, and devised a method to uniquely obtain corresponding event pairs. This aimed at improving the accuracy of Bayesian estimation. As a result of the evaluation experiment using artificial data, accuracy improvement was confirmed in the proposed method, especially when the event densely exists on the time axis as compared with the conventional method. Furthermore, we showed examples of applying this method to damage correlation analysis of fuel cells and occurring correlation analysis between earthquakes.

Report

(4 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Research-status Report
  • 2015 Research-status Report
  • Research Products

    (5 results)

All 2017 2016 2015

All Journal Article (2 results) (of which Peer Reviewed: 1 results,  Acknowledgement Compliant: 1 results) Presentation (3 results) (of which Int'l Joint Research: 1 results,  Invited: 1 results)

  • [Journal Article] データマイニングの応用2016

    • Author(s)
      津本周作, 矢田勝俊, 福井健一, 小野田崇, 阿部明典, 中嶋宏
    • Journal Title

      医療情報学

      Volume: 36 Pages: 315-324

    • NAID

      130005966731

    • Related Report
      2016 Research-status Report
  • [Journal Article] Cluster Sequence Mining: Causal Inference with Time and Space Proximity under Uncertainty2015

    • Author(s)
      Yoshiyuki Okada, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao
    • Journal Title

      Lecture Notes in Artificial Intelligence

      Volume: 9078 Pages: 293-304

    • DOI

      10.1007/978-3-319-18032-8_23

    • ISBN
      9783319180311, 9783319180328
    • Related Report
      2015 Research-status Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Presentation] Knowledge Discovery from Sequence of Event Data2017

    • Author(s)
      Ken-ichi Fukui
    • Organizer
      RIEC Annual Meeting on Collaborative Research Projects
    • Place of Presentation
      Sendai, Japan
    • Related Report
      2016 Research-status Report
    • Invited
  • [Presentation] 多次元数値観測量の事象系列に対するクラスタ系列パターンの抽出2015

    • Author(s)
      福井健一
    • Organizer
      第29回人工知能学会全国大会
    • Place of Presentation
      函館
    • Year and Date
      2015-05-30
    • Related Report
      2015 Research-status Report
  • [Presentation] Cluster Sequence Mining: Causal Inference with Time and Space Proximity under Uncertainty2015

    • Author(s)
      Ken-ichi Fukui
    • Organizer
      The 19th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD2015)
    • Place of Presentation
      Ho Chi Minh, Vietnam
    • Year and Date
      2015-05-19
    • Related Report
      2015 Research-status Report
    • Int'l Joint Research

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Published: 2015-04-16   Modified: 2019-03-29  

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