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2017 IEEE Symposium on Computational Intelligence and Data Mining (IEEE CIDM' 17)

IEEE CIDM 2017 organized by the IEEE Computational Intelligence Society Data Mining Technical Committee is one of the largest and best attended symposia of the of the IEEE Symposium Series of Computational Intelligence (IEEE SSCI 2017). IEEE CIDM 2017 will bring together researchers and practitioners from around the world to discuss the latest advances in the field of computational intelligence applied to data mining and will act as a major forum for the presentation of recent results in theory, algorithms, systems and applications.

Topics

Topics related to all aspects of data mining and machine learning, such as theories, algorithms, systems and applications, particularly those based on computational intelligence technologies, are welcome; these include, but are not limited to:
  • Neural networks for data mining
  • Evolutionary algorithms for data mining
  • Fuzzy sets for data mining
  • Data mining with soft computing
  • Foundations of data mining
  • Mining with big data
  • Classification, Clustering, Regression
  • Association
  • Feature learning and feature engineering
  • Machine learning algorithms
  • Mining from streaming data
  • Deep learning
  • Data mining from nonstationary and drifting environments
  • Multimedia data mining
  • Text mining
  • Link and graph mining
  • Social media mining
  • Collaborative filtering
  • Crowd sourcing
  • Personalization
  • Security, privacy and social impact of data mining
  • Data mining applications

Accepted Special Sessions

  • Mining the sky: knowledge discovery in big and complex astronomical data sets and data streams
    • Organizers:
      Erzsébet Merényi, Rice University, Houston, Texas, USA
      George Djorgovski, Center for Data-Driven Discovery, Caltech,Pasadena, California, USA
      Giuseppe Longo, University Federico II in Napoli (I), Italy
      Kai Polsterer, Heidelberg Institute for Theoretical Studies, Germany
    • More Information
  • Computational Intelligence and Financial Engineering: Now and Future
    • Organizers:
      An-Pin Chen, National Chiao Tung University, HsinChu, Taiwan
      Mu-Yen Chen, National Taichung University of Science and Technology, Taiwan
    • More Information
  • Representation learning for transfer and collaborative approaches
    • Organizers:
      Younès Bennani, Paris 13 University, France
      Guénaël Cabanes, Paris 13 University, France
      Nistor Grozavu, Paris 13 University, France
      Basarab Matei, Paris 13 University, France
    • More Information

Symposium Co-Chairs



Robi Polikar
Rowan University, Glassboro, NJ 08028, USA
Email: polikar@rowan.edu


Friedhelm Schwenker
Ulm University, Germany
Email: friedhelm.schwenker@uni-ulm.de


Barbara Hammer
Bielefeld University, Germany
Email: bhammer@techfak.uni-bielefeld.de


Gang Li
Daekin University, Melbourne, Australia
Email: gangli@gmail.com

Program Committee

(To be announced)