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CALL FOR PAPERS: The 17th INFORMS Workshop on Data Mining and Decision Analytics

  • 1.  CALL FOR PAPERS: The 17th INFORMS Workshop on Data Mining and Decision Analytics

    Posted 05-18-2022 23:43
    CALL FOR PAPERS
    The 17th INFORMS Workshop on Data Mining and Decision Analytics
    October 15, 2022, Indianapolis, IN
    Organized by INFORMS Data Mining (DM) Society

     

    The Data Mining Society of INFORMS is organizing the 17th INFORMS Workshop on Data Mining and Decision Analytics in conjunction with 2022 INFORMS Annual Meeting. You are cordially invited to join us and share your recent research work with peers from data mining, decision analytics, and artificial intelligence.

    To participate, a full paper must be submitted before the deadline for consideration. The workshop committee also announces the best paper competition in both theoretical and applied research tracks. All accepted papers are automatically considered for the best paper competition in the chosen track.

     

    Topics of interest include, but are not limited to:

    • Large-Scale Data Analytics and Big Data
    • Interpretable Data Mining
    • Simulation/Optimization in Data Analytics
    • Network Analysis and Graph Mining
    • Privacy & Fairness in Data Science
    • Bayesian Data Analytics
    • Healthcare Analytics
    • Longitudinal Data Analysis
    • Causal Mining (Inference)
    • Anomaly Detection
    • Deep Learning
    • Emerging Data Analytics in Industrial Applications
    • Analytics in Social Media & Finance
    • Reliability & Maintenance
    • Visual Analytics
    • Web Analytics/Web Mining
    • Text Mining & Natural Language Processing
    • Ethics and Security in Data Mining
    • Fairness in Machine Learning

     

    Timeline

    • May 16: Paper submission begin            
    • August 8: Paper submission close
    • September 1:  Final review decision
    • September 14: Workshop on Data Mining and Decision Analytics registration deadline

    Papers submission guideline

    • Maximum of 10 pages (including abstract, tables, figures, and references)
    • Single-spacing and 11-point font with one-inch margins on four sides
    • Papers must be submitted via this link. Late submission will not be considered for further review.
    • Copyright: The DM workshop will not retain the copyrights on the papers; so, the authors are free to submit their papers to other outlets.

    DM Workshop Co-Chairs

    • Eyyub Kibis, Montclair State University
    • Nathan Gaw, Georgia Institute of Technology
    • Feng Liu, Stevens Institute of Technology


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    Eyyub Kibis
    Assistant Professor of Business Analytics
    Montclair State University
    Montclair NJ
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