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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