Topics

Submissions of papers describing original work in, but not limited to, the following topics are enthusiastically encouraged.

Neural Computation- Deep Learning; Recurrent Neural Networks Support Vector Machines and Statistical Neural Network Models; Unsupervised and Semi-supervised Learning Neural Networks.

Evolutionary Computation- Genetic and Evolutionary Algorithms; Particle Swarm Optimization and Ant Colony Optimization; Multi-Objective Optimization; Artificial Life and Artificial Immune Systems; Intelligent Agents; Quantum Computing; Molecular, DNA, Membrane, and Cultural Computing.

Fuzzy Theory and Algorithms- Fuzzy theory and models; Rough Set; Granular Computation; Uncertainty Management

Natural Computation Applications- Data analysis; Image, speech and signal processing; Vision and multimedia; Control and robotics, Decision and support.

Knowledge Discovery Foundations- Association Rules; Classification; Clustering; Privacy Preserving Data Mining; Statistical Methods for Data Mining; Parallel/Distributed Data Mining; Knowledge Management; Machine Learning and Artificial Intelligence.

Knowledge Discovery in Specific Domains- Big data, Multimedia, Text, Web and the Internet, Graphic model discovery, Software warehouse and software mining, Bioinformatics, Financial engineering.

Information Technology for Knowledge Discovery- Data engineering; Signal processing and multimedia; Communications and networking; Software engineering; Automation, robotics, and control; Distributed systems and computer hardware.