Python data mining environments

Aleš Mrak (2012) Python data mining environments. EngD thesis.

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Abstract

In the thesis we compare the systems for data mining that have an interface in the programming language Python. Many open-source systems for data mining and library had implemented their software interfaces to the Python programming language. They choose Python because it is fast and provides object-oriented programming, allows for the integration of other software libraries in Python and is implemented in all major operating systems (Windows, Linux / Unix, OS / 2, Mac, etc..). Our analysis systems for data mining covers seven most used systems (Elefant, MDP, OpenCVLibrary, Orange, Pybrain, Pyml and Shogun). The analysis covered the following properties of the systems data formats, application programming interface (GUI and API), multitasking, support for databases, response times and other aspects such as installation, documentation and support for the users. From this analysis, we also find out what are the common shortcomings of the analyzed libraries and we give some recommendations to developers.

Item Type:

Thesis (EngD thesis)

Keywords:

Python, data mining, Elefant, MDP, OpenCV, Orange, PyBrain, PyML, Shogun, Machine learning.

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=50070&select=(ID=00009400660)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

1819

Date Deposited:

19 Sep 2012 16:14

Last Modified:

26 Sep 2012 12:01

URI:

http://eprints.fri.uni-lj.si/id/eprint/1819

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