Analysis of the results of application of the VKF system: Successes and an open problem
- 作者: Vinogradov D.V.1,2
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隶属关系:
- FRC Computer Science and Control
- Russian State University for the Humanities
- 期: 卷 51, 编号 3 (2017)
- 页面: 108-111
- 栏目: 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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详细
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.
作者简介
D. Vinogradov
FRC Computer Science and Control; Russian State University for the Humanities
编辑信件的主要联系方式.
Email: vinogradov.d.w@gmail.com
俄罗斯联邦, Moscow, 119333; Moscow, 125993
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