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.
The manuscripts should be submitted in PDF format. Click Here to know further guidelines for submission.
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 Co-Chairs

Robi Polikar
Rowan University, Glassboro, NJ 08028, USA
Email: polikar@rowan.edu

Friedhelm Schwenker
Ulm University, Germany
Email: friedhelm.schwenker@uni-ulm.de

Barbara Hammer
Bielefeld University, Germany
Email: bhammer@techfak.uni-bielefeld.de

Gang Li
Daekin University, Melbourne, Australia
Email: gangli@gmail.com
Program
Committee
(To be announced)