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Why Confluence of Multiple Disciplines?

  • Tremendous amount of data
    • Algorithms must be highly scalable to handle such as tera-bytes of data
  • High-dimensionality of data
    • Micro-array may have tens of thousands of dimensions
  • High complexity of data
    • Data streams and sensor data
    • Time-series data, temporal data, sequence data
    • Structure data, graphs, social networks and multi-linked data
    • Heterogeneous databases and legacy databases
    • Spatial, spatiotemporal, multimedia, text and Web data
    • Software programs, scientific simulations
  • New and sophisticated applications

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