Computational Intelligence, Data Mining, Data Stream Mining, Machine Vision, Pattern Recognition, Big Data, Data Science
Call for paper
Hybrid Systems of Computational Intelligence
Information processing systems which combine different aproaches of Computational Intelligence, for example, artificial neural networks which are learnt by evolutionary algorithms, neuro-fuzzy systems, wavelet-neuro-fuzzy systems, neuro-neo-fuzzy systems, particle swarm algorithms, evolving systems, deep learning etc.
Machine Vision and Pattern Recognition
Video Streams that are fed from video cameras in an online mode under environment uncertainty and variability conditions.
Dynamic Data Mining & Data Stream Mining
Data Mining problems (classification, clustering, prediction, identification etc.) when information is fed in an online mode in the form of data streams.
Big Data & Data Science Using Intelligent Approaches
Systems of Computational Intelligence (artificial neural networks, fuzzy reasoning systems, evolutionary algorithms) in the tasks of Big Data processing (high-dimensional data) where data are stored in VLDB or fed in an unlimited data stream. Natural Language Processing - machine learning using to get the semantic objects from natural language; the deep learning methods for natural language understanding
This event to share resources and ideas with all scientific associations and R&D departments of IT companies.