ICMDE 2020 : International Conference on Computational Methods and Data Engineering

  in Conferences   Posted on July 18, 2019

Conference Information

Submission Deadline Monday 30 Sep 2019 Proceedings indexed by :
Conference Dates Jan 30, 2020 - Jan 31, 2020
Conference Address SRM University Delhi-NCR, India
Conference & Submission Link https://www.srmuniversity.ac.in/icmde2020/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

TRACK A : COMPUTATIONAL METHODS FOUNDATIONS
Learning theory, Optimization Methods, Statistical learning, Evolutionary Computation, Generalization in neural, fuzzy and evolutionary learning, Learning Classifiers, Probabilistic and statistical models and theories, Parallel and distributed learning, Scientific data and Big Data Engineering, Scalable analysis and learning, Data sampling and reduction, High dimensional data, feature selection and feature transformation, High performance computing for data analytics, Hybridization intelligent techniques
TRACK B : COMPUTATIONAL METHODS AND KNOWLEDGE DISCOVERY
Computational Methods for Knowledge discovery models and systems, Computational Methods in Human-machine interaction for knowledge discovery and management, Computational Methods in Nature inspired and evolutionary computation for knowledge discovery, Computational Methods for Knowledge based neural networks, Computational Methods for Knowledge discovery from heterogeneous, unstructured and multimedia data, Computational Methods for Knowledge discovery in social networks, Computational Methods for Data and knowledge visualization, Computational Methods in High performance computing for Knowledge discovery
TRACK C : COMPUTATIONAL METHODS AND DATA ENGINEERING
Computational Methods in Big data Engineering, Computational Methods in High-Performance Computing, Computational Methods in Machine learning over the Cloud, Computational Methods in bioinformatics, computational biology, health and medical analytics, Computational Methods in Intelligent system modeling, designing and computing, Computational Methods in Cognitive Science and Artificial Intelligence, Computational Methods in machine learning and deep learning, Computational Methods in pattern recognition, Computational Methods in Image Processing, Computational Methods in Intelligent Information Retrieval, Computational Methods in Scientific analytics and real time decision making for Data Engineering, Big data Engineering foundations, analytics and visualisation
TRACK D : APPLICATIONS
Bioinformatics, Computational neuroscience, Pattern Recognition, Image processing, Computer vision, Business, Social science, Human activity recognition

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