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

Call for Papers & Participation

We solicit original  unpublished research and technical papers  that demonstrate  contemporary research in all areas of Data Science and Engineering.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 made available  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
  • Crowd Sourcing & Social Intelligence
  • Computational Biology & Bioinformatics
  • Data-Centric Programming
  • Data Modelling & Semantic Engineering
  • Data, text and web mining & visualization
  • Interoperability and Data Integration using open standards
  • High performance Scientific/  Engineering/Commercial Applications
  • Infoscience and Computational Informatics
  • Information Discovery and Query Processing
  • Information Network Analysis
  • Domain-Specific Data Management
  • Knowledge based Software Engineering
  • Knowledge Engineering
  • Machine Learning for Natural Language Computing
  • Management of Very Large Data System
  • Peer-to-peer Algorithms and Networks
  • Statistical Computing
  • Web Engineering

Paper Submissions will be reviewed and evaluated based on originality, technical quality and relevance to conference

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