IEEE Symposium on Computational Intelligence in Data Mining (CIDM)

IEEE SSCI 2020 will run as a virtual conference.

IEEE CIDM 2020 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 2020). IEEE CIDM 2020 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

PC Members:

Erzsébet Merenyi, Rice University

Yang Yu, Nanjing University

Wil van der Aalst, Aachen Univ.

Ata Kaban, University of Birmingham

Kai Qin, Swinburne University of Technology

Jose Martin, Universitat de Valencia

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

Zhen Ni, South Dakota State University

Yonghong Peng, University of Sunderland

Alfredo Vellido, Universitat Politècnica de Catalunya

Cao Truong Tran, Vietnam

Giacomo Boracchi, Tampere University of Technology

Guandong Xu,University of Technology Sydney

Handing Wang, Xidan University

Joao Gama, University of Porto

Jose D. Martín-Guerrero,Avgda. de la Universitat

Lipo Wang,Nanyang Technological University

Manuel Roveri, Piazza Leonardo da Vinci

Qi Chen, Victoria University of Wellington

Robi Polikar, Rowan University

Sansanee Auephanwiriyakul, Chiang Mai University

Weiping Ding, Nantong University

Wenlong Fu, SAP

Yonghong Peng, The University of Sunderland

Yun Li, University of Glasgow

Zhiwen Yu, South China University of Technology

Haibo He, University of Rhode Island

Marek z. Reformat,university of Alberta

Gary Yen, Oklahoma State University