"Big Data" in a broad sense refers for data sets so large or complex that they are difficult to process using traditional data processing applications. This session focus on various Challenges & Opportunities includes analysis, search, sharing, storage, transfer, visualization, and information privacy.

  • Search

  • Mining

  • Social Web

  • Finance

  • e-Commerce

  • Health Care

  • Digital libraries and scientific publications

  • Security and government

  • Classification and Techniques

  • Data Clustering

Papers from other topics relevant to Session on Big Data: Challenges & Opportunities are also welcome.

Submission of papers shall be through conference website.

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