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Generation of pseudoartificial data sets

Tadej Lokar (2012) Generation of pseudoartificial data sets. EngD thesis.

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    We created a generator of pseudo artificial data sets. The generator takes a given data set as input, analyses it and creates a new data set based on learned properties. A key component of the generator is PRBF algorithm, because its structure is particularly suited for example generation. We tested the generator on multiple real data sets and measured its quality with the data sets properties. In the conclusion we propose possible enhancements to generator's abilities.

    Item Type: Thesis (EngD thesis)
    Keywords: PRBF, generator, pseudo artificial data sets, machine learning
    Number of Pages: 29
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    prof. dr. Marko Robnik Šikonja276Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=00009512276)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 1906
    Date Deposited: 23 Oct 2012 13:45
    Last Modified: 16 Nov 2012 09:01
    URI: http://eprints.fri.uni-lj.si/id/eprint/1906

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