• DocumentCode
    1667963
  • Title

    Queriosity: Automated Data Exploration

  • Author

    Wasay, Abdul ; Athanassoulis, Manos ; Idreos, Stratos

  • fYear
    2015
  • Firstpage
    716
  • Lastpage
    719
  • Abstract
    Curiosity, a fundamental drive amongst higher living organisms, is what enables exploration, learning and creativity. In our increasingly data-driven world, data exploration, i.e., Making sense of mounting haystacks of data, is akin to intelligence for science, business and individuals. However, modern data systems -- designed for data retrieval rather than exploration -- only let us retrieve data and ask if it is interesting. This makes knowledge discovery a game of hit-and-trial which can only be orchestrated by expert data scientists. We present the vision toward Queriosity, an automated and personalized data exploration system. Designed on the principles of autonomy, learning and usability, Queriosity envisions a paradigm shift in data exploration and aims to become a a personalized "data robot" that provides a direct answer to what is interesting in a user\´s data set, instead of just retrieving data. Queriosity autonomously and continuously navigates toward interesting findings based on trends, statistical properties and interactive user feedback.
  • Keywords
    data mining; information retrieval; learning (artificial intelligence); statistical analysis; Queriosity; automated personalized data exploration system; autonomy; data retrieval; interactive user feedback; knowledge discovery; learning; personalized data robot; statistical properties; usability; Big data; Context; Data mining; Learning (artificial intelligence); Usability; Curious data systems; Data analysis; Data exploration; Data systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (BigData Congress), 2015 IEEE International Congress on
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4673-7277-0
  • Type

    conf

  • DOI
    10.1109/BigDataCongress.2015.116
  • Filename
    7207300