The main aim of The First International Conference On Intelligent Computing in Data Sciences ICDS2017 is to promote new research purposes and advances in the theme of computational intelligence to analyzing, exploring and learning from large amounts of data. Original and high quality contributions related to this theme are solicited, including theories, methodologies, and applications. Submissions will be reviewed by experts on the basis of originality, significance and clarity.
Intelligent Computing
Neural Networks theory
Neural Networks models
Computational neuroscience
Connectionist theory and cognitive science
Supervised, unsupervised, and reinforcement learning
Big data visualization, modeling and analytics
Brain imaging and neural information processing
Support vector machines and kernel methods
machine Learning
Deep learning
Evolutionary algorithms
Feature selection
Fuzzy systems
Expert Systems
Self organizing map
Areas and applications
Machine Learning algorithms for high-velocity streaming data
Data pre-processing, sampling and reduction
High dimensional data, feature selection and transformation
High performance computing for data analytics
Intelligent Transportation Systems and big data
Data analytics, machine learning and knowledge discovery
Computational Intelligence and Big Data Analytics
Computational theories for big data analysis
Sparse data
Data Mining, Text mining & web mining
Big data analytics for security
Natural language processing
Smart grid
Neurorobotics and Intelligent Robotics
Intrusion detection and fault diagnosis
Image/Video Processing
Speech Processing
12月18日
2017
12月19日
2017
初稿截稿日期
注册截止日期
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