IEEE ICDM 2015 Call for Papers, Workshops, Contest proposals, demos, and tutorials

ICDM '15: The 15th IEEE International Conference on Data Mining, a leading research conference in the field, calls for workshop proposals, contest proposals, papers, demo proposals, and tutorial proposals. Conference dates: Nov 14-17, Atlantic City, NJ, USA.

IEEE ICDM 2015, Nov 14-17, Atlantic City
ICDM '15, The 15th IEEE International Conference on Data Mining
Nov 14-17, 2015 in Atlantic City, NJ, USA.

Important Dates

All deadlines are at 11:59PM Pacific Daylight Time
  • Workshop proposals: Mar 19, 2015
  • ICDM contest proposals: Mar 29, 2015
  • Full paper submissions: Jun 3, 2015
  • Demo proposals: Jul 13, 2015
  • Tutorial proposals: Aug 1, 2015
  • Conference dates: Nov 14-17, 2015

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 and, since 2007, the ICDM data mining contest.

Topics of Interest

Topics of interest include, but are not limited to:
  • Foundations, algorithms, models, and theory of data mining
  • Machine learning and statistical methods for data mining
  • Mining text, semi-structured, spatio-temporal, streaming, graph, web, multimedia data
  • Data mining systems and platforms, their efficiency, scalability, and privacy
  • Data mining in modeling, visualization, personalization, and recommendation
  • Applications of data mining in all domains including social, web, bioinformatics, and finance

For Submission Guidelines and more information, including
  • Repeatability guidelines
  • Best Paper Awards
  • Attendance


General Chairs:
  • Alexander Tuzhilin (New York University, USA)
  • Hui Xiong (Rutgers University, USA)

Program Chairs:
  • Charu Aggarwal (IBM Research)
  • Zhi-Hua Zhou (Nanjing University, China)

Steering Committee Chair:
  • Xindong Wu (University of Vermont, USA)