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Interactive data analytics in the cloud through integration of Resolwe library and Orange data mining

Jaka Kokošar (2018) Interactive data analytics in the cloud through integration of Resolwe library and Orange data mining. EngD thesis.

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    Abstract

    With new approaches and the development of new methods in all areas of human endeavour we are facing an increasing amount of obtained data. The field of data analytics must adjust accordingly. In the Thesis, we propose a new architecture that allows interactive execution of data analytics in the cloud. The proposed solution combines two open source projects. Orange, the open source data mining suit, offers an intuitive graphical interface to create data analysis workflows. Resolwe is an open source dataflow package that fully supports execution of workflows in the cloud. We developed a prototype that combines the two systems and demonstrate that Resolwe is a viable solution for running Orange's data analysis workflows in the cloud. We point to the current limitations of proposed architecture and propose possible solutions that would eliminate them in the future.

    Item Type: Thesis (EngD thesis)
    Keywords: data analytics, visual programming, analytical processes in the cloud, big data
    Number of Pages: 32
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    prof. dr. Blaž Zupan106Mentor
    dr. Miha ŠtajdoharComentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537882563)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 4153
    Date Deposited: 27 Aug 2018 12:24
    Last Modified: 07 Sep 2018 09:14
    URI: http://eprints.fri.uni-lj.si/id/eprint/4153

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