The rapid development of computer science and information technology in the last couple of decades has generated massive amount of data and fundamentally changed every field in science and engineering. Many disciplines are now rich in data and tend to adopt data science or data-intensive engineering methodologies to do research and development. Scientific approach to process data involving the engineering aspects as well, would lead to major strides in the domains of data, information and knowledge which contribute to the evolving knowledge society. This conference is intended to take stock of the trends and developments in the globally competititve environment as well as to provide indicators for future directions to researchers and practitioners.
Algorithms for Large Data Sets
Business Intelligence
Cluster, Cloud, and Grid Computing
Croud Sourcing and Social Intelligence
Computational Biology and Bioinformatics
Data Centric Programming
Data Modeling and Semantic Engineering
Data, Text, Web Mining, and Visualization
Domain Specific Data Management
High Performance Scientific/Engineering/Commercial Applications
Interoperability and Data Integration using Open Standards
Infoscience and Computational Informatics
Information discovery and Query processing
Information Network Analytics
Knowledge based Software Engineering
Knowledge Engineering
Machine Learning and Natural Language Computing
Management of very large data systems
Peer-to-Peer Algorithms and Networks
Statistical Computing
Web Engineering
08月23日
2016
08月25日
2016
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