Automatic Method for Data Preprocessing for the GAME Inductive Modelling Method

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A03145839" target="_blank" >RIV/68407700:21230/08:03145839 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Automatic Method for Data Preprocessing for the GAME Inductive Modelling Method

Original language description

The data preprocessing is corner stone of every data mining task. But is also very difficult one. There are large variety of preprocessing methods and it is usually not clear which to use. Selection and setup of preprocessing methods usually needs skilled data mining expert. In this article we want to present a method for automated selection of preprocessing methods based on genetic algorithms. This method is intended as support for data mining expert and ease his work in routine parts like selection ofappropriate preprocessing method (e.g. for data normalisation, outlier detection, etc... ). In this paper we will present the first results of our method.

Czech name

Automatic Method for Data Preprocessing for the GAME Inductive Modelling Method

Czech description

The data preprocessing is corner stone of every data mining task. But is also very difficult one. There are large variety of preprocessing methods and it is usually not clear which to use. Selection and setup of preprocessing methods usually needs skilled data mining expert. In this article we want to present a method for automated selection of preprocessing methods based on genetic algorithms. This method is intended as support for data mining expert and ease his work in routine parts like selection ofappropriate preprocessing method (e.g. for data normalisation, outlier detection, etc... ). In this paper we will present the first results of our method.

Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

<a href="/en/project/KJB201210701" target="_blank" >KJB201210701: Automated Knowledge Extraction</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2008

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 2nd International Conference on Inductive Modelling

ISBN

978-966-02-4889-2

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

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Publisher name

Ukr. INTEI

Place of publication

Kiev

Event location

Kyjev

Event date

Sep 15, 2008

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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