IEEE CIDM 2018 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 2018). IEEE CIDM 2018 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 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

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 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