Novosibirsk State University Journal of Information Technologies
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ISSN 2410-0420 (Online), ISSN 1818-7900 (Print)

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All Issues >> Contents: Volume 09, Issue No 3 (2011)

Comparison of «Discovery» software system versus Microsoft Association Rules
N. I. Firsov

A.P. Ershov Institute of Informatics Systems SB RAS
UDC code: 681.3:004.8

Abstract
We have developed a relational approach (Relational Data Mining) to methods of data mining, and the Discovery software system which relaxes almost all restrictions peculiar to the KDD & DM techniques. The goal of this paper is to provide both theoretical and experimental comparisons of Discovery versus Microsoft Association Rules. We show that Discovery fits better for pattern detection and prediction tasks than the Association Rules, and, unlike the latter, it can detect knowledge in high-noised data such as financial time series.

Key Words
knowledge «Discovery», regularities detection, data mining, intelligent data analysis

How to cite:
Firsov N. I. Comparison of «Discovery» software system versus Microsoft Association Rules // Vestnik NSU Series: Information Technologies. - 2011. - Volume 09, Issue No 3. - P. 37-49. - ISSN 1818-7900. (in Russian).

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References
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Publication information
Main title Vestnik NSU Series: Information Technologies, Volume 09, Issue No 3 (2011).
Parallel title: Novosibirsk State University Journal of Information Technologies Volume 09, Issue No 3 (2011).

Key title: Vestnik Novosibirskogo gosudarstvennogo universiteta. Seriâ: Informacionnye tehnologii
Abbreviated key title: Vestn. Novosib. Gos. Univ., Ser.: Inf. Tehnol.
Variant title: Vestnik NGU. Seriâ: Informacionnye tehnologii

Year of Publication: 2011
ISSN: 1818-7900 (Print), ISSN 2410-0420 (Online)
Publisher: Novosibirsk State University Press
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