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.


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Important dates

  • Conference Dates

    21 Aug.



    25 Aug.


  • 25 Mar.


    Abstract submission deadline

  • 25 Mar.


    Draft paper submission deadline

  • 01 Jun.


    Draft paper acceptance notification

  • 20 Jun.


    Final paper deadline

Contact information

  • Dmytro Peleshko

Sponsored By

  • Ukraine (Kharkov) Section SP/AP/C/EMC Joint Chapter
    Ukraine Section

Organized By

  • Kharkiv National University of Radioelectronics
    Lviv Polytechnic National University - LPNU
    Ukrainian Catholic University
    University "IT Step Academy"