CIDM 2017 - 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