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  • Home
  • Organization
    • Organizing Committee
    • Program Committee
  • Key Dates
  • Calls
    • Call for Papers
    • Call for Workshops
    • Call for Tutorials
    • Call for Demos
    • Call for PhD Forum
    • Call for Award Nominations
  • Program
    • Program at a Glance
    • Detailed Program
    • Workshops
    • Tutorials
    • Keynotes
    • List of Accepted Papers
  • Attending
    • Registration
    • Student Travel Awards
    • Venue
    • Social Event and Gala Dinner
    • Travelling to New Orleans
    • Call for Participation
  • Contact

New Orleans
USA

November 18 - November 21, 2017

The IEEE International Conference on Data Mining series (ICDM) has established itself as the world’s premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of data mining, including algorithms, software and systems, and applications. ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing. By promoting novel, high quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to continuously advance the state-of-the-art in data mining. Besides the technical program, the conference features workshops, tutorials, panels.

Keynote Speakers

Leslie Valiant

Harvard University

Aidong Zhang

State University of New York at Buffalo
National Science Foundation

Michael J. Franklin

University of Chicago

Sponsors

International Conference on Data Mining - New Orleans, 2017