November 17-18, 2016
South Korea
Due to the explosive evolution of Information Technology and Computer Science, we have entered in the Big Data Age, and this is really a scientific revolution, not just a fashion. As always, the technological aspects evolve faster than the scientific community mentality. Transforming Big Data into Big Knowledge and developing a new kind of Knowledge-Based Systems require new visions and approaches. Companies, facing the Big Data challenges, are moving faster in the right direction than the scientific community, being under a stronger competitive pressure. They were forced to renounce to wishful thinking, like the idea that a few variables, embedded in a few rules, discovered using the old fashion statistics, will give intelligent support for business decisions. We have to do the same for developing various applications.
· Data Visualization and Visual Analytics
· Natural Language Processing in Big Texts
· Biomedical imaging pre-processing and Analysis
· Hardware and Software solutions for Big Data Searching, Storing and Management
· Structured and Unstructured Data/Text/Web Mining
· Deep Learning architecture, representations, unsupervised and supervised algorithms
· Scalable computational intelligence tools
· Novel Computational Intelligence approaches for data analysis
· Evolutionary and Bio-inspired approaches for Big Data analysis
· New domains and novel applications related to Big Data technologies
User Name : amala
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