Data Mining Methods for Discovering Statistically Significant Substructures of Graphs

• Project/Area Number: 26880013
• Research Category: Grant-in-Aid for Research Activity Start-up
• Allocation Type: Single-year Grants
• Research Field: Intelligent informatics
• Research Institution: Osaka University
• Principal Investigator: SUGIYAMA Mahito 大阪大学, 産業科学研究所, 助教 (10733876)
• Project Period (FY): 2014-08-29 – 2016-03-31
• Project Status: Completed (Fiscal Year 2015)
• Budget Amount: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000); Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000); Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
• Keywords: グラフマイニング / パターンマイニング / 仮説検定 / 多重検定 / 統計的有意性 / ランダム置換 / 国際情報交換 / スイス連邦 / 部分グラフ / 検定可能性 / 実効的検定数 / 高速化 / 国際研究者交流

Outline of Final Research Achievements

We have developed significant subgraph mining methods, which find substructures of graphs that are statistically significantly enriched in a class of transactions. In drug discovery, for example, the methods enable us to find substructures of chemical compounds which are significantly associated with a particular activity such as an anticancer activity. Our methods control the false positive rate, the probability of erroneous discoveries that actually do not have a particular effect, which is essential to provide reliable results in a number of application domains from drug discovery to social network analysis.

Research Products

• [Int'l Joint Research] D-BSSE, ETH Zurich(スイス)
• [Journal Article] Information Decomposition on Structured Space (2016)
  • Author(s): Sugiyama, M., Nakahara, H., Tsuda, K.
  • Journal Title: Proceedings of the 2016 IEEE International Symposium on Information Theory Volume: 未定
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing (2015)
  • Author(s): Llinares-Lopez, F., Sugiyama, M., Papaxanthos, L., Borgwardt, K. M.
  • Journal Title: Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining Volume: なし Pages: 725-734
  • DOI: 10.1145/2783258.2783363
  • Peer Reviewed / Open Access / Int'l Joint Research / Acknowledgement Compliant
• [Journal Article] Halting in Random Walk Kernels (2015)
  • Author(s): Sugiyama, M., Borgwardt, K. M.
  • Journal Title: Advances in Neural Information Processing Systems Volume: 28 Pages: 1630-1638
  • NAID: 40020676456
  • Peer Reviewed / Open Access / Int'l Joint Research / Acknowledgement Compliant
• [Journal Article] Significant Subgraph Mining with Multiple Testing Correction (2015)
  • Author(s): Sugiyama, M., Llinares-Lopez, F., Kasenburg, N., Borgwardt, K.M.
  • Journal Title: Proceedings of the 2015 SIAM International Conference on Data Mining Volume: 未定
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] Detecting Anomalous Subgraphs on Attributed Graphs via Parametric Flow (2015)
  • Author(s): Sugiyama, M., Otaki, K.
  • Journal Title: New Frontiers in Artificial Intelligence Volume: 未定
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] Genome-Wide Detection of Intervals of Genetic Heterogeneity Associated with Complex Traits (2015)
  • Author(s): Llinares-Lopez, F., Grimm, D.G., Bodenham, D.A., Gieraths, U., Sugiyama, M., Rowan, B., Borgwardt, K.M.
  • Journal Title: Bioinformatics Volume: 未定
  • Peer Reviewed / Acknowledgement Compliant
• [Presentation] Statistical Analysis on Order Structures (2016)
  • Author(s): Mahito Sugiyama
  • Organizer: 3rd mini-symposium on Computations, Brains and Machines
  • Place of Presentation: 理研BSI（埼玉県・和光市）
  • Year and Date: 2016-03-17
  • Int'l Joint Research / Invited
• [Presentation] ランダムウォークグラフカーネルの停止に関する解析 (2015)
  • Author(s): 杉山 麿人
  • Organizer: 第18回情報論的学習理論ワークショップ (IBIS2015)
  • Place of Presentation: つくば国際会議場（茨城県・つくば市）
  • Year and Date: 2015-11-25
• [Presentation] 統計的パターンマイニング (2015)
  • Author(s): 杉山 麿人
  • Organizer: 第14回情報科学技術フォーラム
  • Place of Presentation: 愛媛大学（愛媛県・松山市）
  • Year and Date: 2015-09-15
  • Invited
• [Presentation] サンプリングを用いた高速頻出パターンマイニング (2015)
  • Author(s): 馬場 祥人
  • Organizer: 第29回人工知能学会全国大会
  • Place of Presentation: 公立はこだて未来大学（北海道・函館市）
  • Year and Date: 2015-05-30
• [Presentation] Multiple Testing Correction in Graph Mining (2015)
  • Author(s): Sugiyama, M.
  • Organizer: Tokyo Workshop on Statistically Sound Data Mining
  • Place of Presentation: 東京
  • Year and Date: 2015-02-16
  • Invited