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

(To be announced)