Batch of video presentation of challanges in data mining

Sašo Jakljevič (2017) Batch of video presentation of challanges in data mining. EngD thesis.

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Abstract

As we store more and more data, Data mining field grows increasingly popular. To enable usage of machine learning tools, visualizations and knowledge discovery in data to the widest possible audience, computer applications that leverage techniques of visual programing stated to appear. These applications enable visual structuring of data analytic processes without the usage of special programming languages. Examples of such tools are RapidMiner, KNIME, Weka and Orange. In the scope of this paper we look at how functionalities of these tools are presented. End result of the paper are two motivational videos, that present examples of data mining and usage of data mining application called Orange. Examples will show a few chosen techniques of visualization and prediction models.

Item Type:

Thesis (EngD thesis)

Keywords:

data mining, video presentation, educational content, software

Number of Pages:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
prof. dr. Blaž Zupan	106	Mentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537363907)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

3786

Date Deposited:

10 Feb 2017 14:28

Last Modified:

27 Feb 2017 11:07

URI:

http://eprints.fri.uni-lj.si/id/eprint/3786

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