2019 IEEE Symposium Series on Computational Intelligence


IEEE Symposium Series on Computational Intelligence

December 6-9, 2019 Xiamen, China

 

IEEE Symposium on Computational Intelligence and Data Mining (IEEE CIDM)

IEEE CIDM 2019 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 2019). IEEE CIDM 2019 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

Symposium Chairs

Bing Xue

School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington, New Zealand.

Email: bing.xue@ecs.vuw.ac.nz

Homepage

Tufan Kumbasar

Control and Automation Engineering Istanbul Technical University.

Email: kumbasart@itu.edu.tr

Homepage

Zhen Ni

Department of Electrical Engineering and Computer Science South Dakota State University.

Email: Zhen.Ni@sdstate.edu

Homepage

Weiping Ding

School of Information Science and Technology Nantong University, Nantong 226019, China

Email: ding.wp@ntu.edu.cn; dwp9988@163.com

Homepage

Program Committee

Erzsébet Merenyi Rice University
Yang Yu Nanjing University
Wil van der Aalst Aachen University
Ata Kaban University of Birmingham
Kai Qin Swinburne University of Technology
Jose Martin Universitat de Valéncia
Nitesh Chawla Notre Dame
João Gama University of Porto
Manuel Roveri Politecnico di Milano
Guandong Xu University of Technology Sydney
Ahmed Azar Benha University
Alhredo Vellido Universitat Politècnica de Catalunya
Gang Li Deakin University
Edwin Lughofer J. Kepler University Linz
Mengjie Zhang Victoria University of Wellington
Sansanee Auephanwiriyakul Chiang Mai University
Gregory Ditzler University of Arizona
Claudio Gallicchio University of Pisa
Dongbin Zhao Chinese Academy of Sciences
Yun Li Nanjing University of Posts and Telecommunications
Anna Wilbik TU Eindhoven
Ran Cheng University of Birmingham
Bing Xue Victoria University of Wellington
Su Nguyen La Trobe University
Elisa Capecci Auckland University of Technology
Tufan Kumbasar Istanbul Technical University
Giacomo Boracchi Politecnico di Milano
Yonghong Peng University of Sunderland
Paulo Lisboa Liverpool John Moores University
Patricia Melin Tijuana Institute of Technology
Patricia Vargas Heriot-Watt
Katherine Malan Univ. of South Africa
Georg Krempl Utrecht University
Sanaz Mostaghim Otto von Guericke University Magdeburg