Ruoming Jin’s Publications (2005-Present)

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2009

  • Ruoming Jin, Yang Xiang, and Lin Liu, Cartesian Contour: A Concise Representation for a Collection of Frequent Sets, to appear in KDD'09.
  • Xiaoxi Du, Ruoming Jin, Ling Ding, Victor Lee, and John Thornton, Migration Motif: A spatial-temporal pattern mining approach for financial market, to appear in KDD'09.
  • Xingquan Zhu and Ruoming Jin, Multiple Information Sources Cooperative Learning, to appear in IJCAI'09.
  • Ruoming Jin, Yang Xiang, Ning Ruan, and Dave Fuhry, 3-HOP: A High-Compression Indexing Scheme for Reachability Query, to appear in SIGMOD'09.
  • Identify Dynamic Network Modules with Temporal and Spatial Constraints, Ruoming Jin, Scott McCallen, Chun-Chi Liu, Yang Xiang, Eivind Almaas, and Xianghong Jasmine Zhou, in the Proceedings of Pacific Symposium on Biocomputing (PSB’09).
  • A Study on Frequent Co-Expression Networks in Cancers (abstract), Yang Xiang, Jie Zhang, Ruoming Jin,and Kun Huang, accepted for oral presentation in the AMIA Summit on Translational Bioinformatics, 2009.
  • Estimating the Number of Frequent Itemsets in a Large Database, Ruoming Jin, Scott Mccallen, and Yuri Breitbart, to appear in the Proceedings of 12th International Conference on Extending Database Technology (EDBT’09).
  • Efficient Skyline Computation in Metric Space, Dave Fuhry, Ruoming Jin, and Donghui Zhang, to appear in the Proceedings of 12th International Conference on Extending Database Technology (EDBT’09).

 

2008

 

2007

  • Data Discretization Unification, Ruoming Jin, Yuri Breitbart, and Chibuike Muoh, in the Proc. of the Seventh IEEE International Conference on Data Mining (ICDM’07), Oct. 2007 (Full Paper, Acceptance rate: 7%, received two best paper nomination).
  • Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks, Ruoming Jin,Scott McCallen, and Eivind Almaas, in the Proc. of the Seventh IEEE International Conference on Data Mining (ICDM’07), Oct. 2007 (Short Paper, Acceptance rate: 19%).
  • SNPMiner: A Domain-Specific Deep Web Mining Tool, Fan Wang, Gagan Agrawal, Ruoming Jin,and Helen Piontkivska. in IEEE 7th Symposium in Bioinformatics and Bioengineering (BIBE), Oct. 2007 (Acceptance rate: 13%).
  • Graph and Topological Structure Mining on Scientific Articles,Fan Wang, Ruoming Jin, Gagan Agrawal, and Helen Piontkivska. in IEEE 7th Symposium in Bioinformatics and Bioengineering (BIBE), Oct. 2007 (Acceptance rate: 13%).
  • Frequent Pattern Mining in Data Streams, Ruoming Jin, Gagan Agrawal, book chapter in Data Streams: Models and Algorithms, Ed. Charu Aggrawal, Spinger, 2007.

 

2006

 

2005

 

 Before 2005