Generation of pseudoartificial data sets

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

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Abstract

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:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
prof. dr. Marko Robnik Šikonja	276	Mentor

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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