Novosibirsk State University Journal of Information Technologies
Scientic Journal

ISSN 2410-0420 (Online), ISSN 1818-7900 (Print)

Switch to

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

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).

Full Text in Russian

Available in PDF

1. Vityayev E. E. Izvlecheniye znany iz dannykh. Kompyuternoye poznaniye. Modeli kognitivnykh protcessov. Novosibirsk, 2006. 293 s.
2. Halpern J. Y. An Analysis of First-Order Logic of Probability // Artificial Intelligence. 1990. S. 311–350.
3. Kendall M. Dzh., Styuart A. Statisticheskiye vyvody i svyazi. M.: Nauka, 1973. 899 s.
4. Zaks Sh. Teoriya statisticheskikh vyvodov. M.: Mir, 1975. 776 s.
5. Vityaev E., Kovalerchuk B. Empirical Theories Discovery Based on the Measurement Theory // Mind and Machine. 2006. Vol. 14. No. 4. P. 551–573.
6. Vityaev E. The Logic of Prediction // Mathematical Logic in Asia: Proc. of the 9th Asian Logic Conference (August 16–19, 2005, Novosibirsk, Russia). Singapore: World Scientific, 2006. P. 263–276.
7. Kovalerchuk B. Y., Vityaev E. E. Data Mining in Finance: Relational and Hybrid Methods. Kluwer, 2000. 308 p.
8. Tang Z., MacLennan J. Data Mining with SQL Server 2005. Wiley Publishing, Inc., 2005. 483 p.

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
DSpace handle

|Home Page| |All Issues| |Information for Authors| |Journal Boards| |Ethical principles| |Editorial Policy| |Contact Information| |Old Site in Russian|
© 2006-2017, Novosibirsk State University.