Aim:
Due to improved sensor technology, increasing storage space, and data availability, digital data sets are rapidly increasing with respect to size, dimensionality, and complexity. On the one hand, big and streaming data sets are becoming more and more popular in complex systems such as industrial manufacturing processes, surveillance, finance, social networks, or health-care. On the other hand, the dimensionality of data can easily reach a few thousand and data sources are often enriched by auxiliary information which gives crucial clues to avoid overfitting. These facts demand for advanced methods and tools which can cope with these big and complex data with respect to not only its sheer size, but also its often challenging statistical properties such as heterogeneous quality, data trends, presence of rare events, and necessity for strong regularisation. This special session will focus on advanced data analysis for big and streaming data which enable a reliable and computationally feasible access to such data sets.Scope:
Submissions are encouraged according to the following non-exhaustive list of topics:- Big data analytics
- Big data visualization
- Reliable machine learning for drift and trend
- Incremenental and lifelong learning
- Security and privacy in big data
- Regularization techniques for very high dimensional data
- Machine learning for heterogeneous and streaming data
- Constant memory algorithms for data analysis
- Analysis of sensor networks and social networks
- Distributed and multiple source machine learning techniques
- Big data applications e.g. in astronomy, health care, sensor networks
- Information and data fusion
- Semi-supervised learning
- Data correlation vs. information diversity
Conference Proceedings:
This is a cross-disciplinary and CI applications Special Session, a submitted paper (if accepted and presented) will be published under one of the three conference proceedings (IEEE CEC, Fuzzy-IEEE, or IJCNN) that is most appropriate to the paper. Such decision will be made by the Special Session Organizers in consultation with the Special Session Chair and one of the three Conference Chairs.Names of Organisers:
Prof.Barbara HammerCITEC centre of excellence
Bielefeld University
Germany
bhammer@techfak.uni-bielefeld.de
Prof.Frank Hsu
Department of Computer and Information Sciences
Fordham University, New York
USA
hsu@cis.fordham.edu
Prof.Marios M. Polycarpou
Department of Electrical and Computer Engineering
University of Cyprus, Nicosia
Cyprus
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