• DocumentCode
    3673608
  • Title

    Real-Time Stream Data Analytics for Multi-purpose Social Media Applications

  • Author

    Satyen Abrol;Gunasekar Rajasekar;Latifur Khan;Vaibhav Khadilkar;Siddarth Nagarajan;Nathan McDaniel;Gautam Ganesh;Bhavani Thuraisingham

  • Author_Institution
    Univ. of Texas at Dallas, Dallas, TX, USA
  • fYear
    2015
  • Firstpage
    25
  • Lastpage
    30
  • Abstract
    This paper describes a real-time information integration and analytics system called InXite for multi-purpose applications. InXite is designed to detect evolving patterns and trends in streaming data including social media data (e.g., tweets). InXite comprises of multiple modules including InXite Registration and Dashboard, InXite Real-time Data Streamer, InXite Information Integrator and InXite Analytics Engine each of which is outlined in this document. At present, InXite has been demonstrated for security, marketing and law enforcement applications.
  • Keywords
    "Data mining","Storms","Real-time systems","Ontologies","Algorithm design and analysis","Prediction algorithms","Engines"
  • Publisher
    ieee
  • Conference_Titel
    Information Reuse and Integration (IRI), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/IRI.2015.15
  • Filename
    7300951