We solicit original unpublished research and technical papers that demonstrate contemporary research in all areas of Data Science and Engineering. All registered, accepted papers will be submitted for possible inclusion in IEEEXplore. For submission of papers IEEE Guidelines are to be followed.

Suggested content areas include but are not limited to:

• 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