Email this article Analysis of the results of application of the VKF system: Successes and an open problem
- Authors: Vinogradov D.V.1,2
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Affiliations:
- FRC Computer Science and Control
- Russian State University for the Humanities
- Issue: Vol 51, No 3 (2017)
- Pages: 108-111
- Section: Information Analysis
- URL: https://journals.rcsi.science/0005-1055/article/view/150166
- DOI: https://doi.org/10.3103/S0005105517030062
- ID: 150166
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Abstract
This paper describes the software implementation of the VKF method for data mining that was successfully applied to two datasets from UCI Machine Learning Repository. A simplified version of the VKF system for searching for a random subset demonstrated an impressive speed of its operation. The theoretical result explaining the observed phenomenon will be proven. The general case is not yet amenable to such an analysis; however, even in the general case the speed of operation is very high.
About the authors
D. V. Vinogradov
FRC Computer Science and Control; Russian State University for the Humanities
Author for correspondence.
Email: vinogradov.d.w@gmail.com
Russian Federation, Moscow, 119333; Moscow, 125993
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