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Development of web aplication for machine learning

Janez Kranjc (2010) Development of web aplication for machine learning. EngD thesis.

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    The thesis describes the development of a web application for machine learning and data mining. Other stand-alone applications for machine learning are described and used as a basis for the development of the web application. Orange4WS serves as a special example as it is utilizing web services for various algorithms and operations. JavaScript and PHP have been selected, along with the markup language HTML and styling language CSS, as enabling technologies for the web application. The web application is developed for all (at the time of writing) popular web browsers and supports building workflows with web services as its elements. The case studies for users are presented along with instructions for the installation of the system to a web server and instructions for expanding the web application by including various algorithms and add-ons. Ideas which include meta-learning on workflows and the generalization of the web application to suit other areas of expertise where the utilization of workflows is sensible, are explained in the conclusion.

    Item Type: Thesis (EngD thesis)
    Keywords: machine learning, data mining, workflow, web application, web services 3
    Number of Pages: 72
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    prof. dr. Igor Kononenko237Mentor
    prof. dr. Nada LavračComentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=00007954260)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 1179
    Date Deposited: 25 Sep 2010 16:15
    Last Modified: 13 Aug 2011 00:37
    URI: http://eprints.fri.uni-lj.si/id/eprint/1179

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