"Data Mining Section


The mission of the Section on Data Mining is to promote and disseminate research and applications among professionals interested in theory, methodologies, and applications in data mining and knowledge discovery.


  • INFORMS 2016 SAS Data Mining Best Paper Awards: The information on the four winners and their papers (presenting person's name is highlighted in bold) are as follows:
    • "Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery" by Tuo Zhao  from John Hopkins University.
      • Tuo Zhao
    • "Robust PCA via L1-Norm Line Fitting" by Paul Brooks and Jose Dula from Virginia Commonwealth University.
      • Paul Brooks
    • "Sequence Graph Transform (SGT): A Feature Extraction Function for Sequence Data Mining" by Chitta Ranjan from Georgia Tech.
      • Chitta Ranjan
    • "Residual Useful Lifetime Prediction Using a Degradation Image Stream" by Xiaolei Fang from Georgia Tech
      • Xiaolei Fang

Latest News

  1. Newsletter of 2017 is now available in News & Events section.

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Key Contacts

President for Data Mining Section:

Onur Seref, PhD  (Chair)
Virginia Tech
Email:  seref@vt.edu


Webmaster for Data Mining Section :

Ali Dag, PhD
Univ. of South Dakota
Email:  ali.dag@usd.edu

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