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Data mining process automatization of air pollution data by the LISp-Miner system / Automation of a data mining process by the LISp-Miner system

This thesis is focused on the area of automated data mining. The aim of this thesis is a description of the area of automated data mining, creation of a design of an automated data mining tasks creation process for verification of set domain knowledge and new knowledge search, and also an implementation of verification of set domain knowledge of attribute dependency type influence with search space adjustments. The implementation language is the LMCL language that enables usage of the LISp-Miner system's functionality in an automated way. These data analyses were performed on data from air pollution monitoring. The design and implementation were successful and the created scripts could be used (with some manual changes in initial parameters) for analyses of another dataset as well.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:192393
Date January 2014
CreatorsOchodnická, Zuzana
ContributorsŠimůnek, Milan, Rauch, Jan
PublisherVysoká škola ekonomická v Praze
Source SetsCzech ETDs
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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