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Analysis of the results of application of the VKF system: Successes and an open problem

Analysis of the results of application of the VKF system: Successes and an open problem 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Documentation and Mathematical Linguistics Springer Journals

Analysis of the results of application of the VKF system: Successes and an open problem

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Publisher
Springer Journals
Copyright
Copyright © 2017 by Allerton Press, Inc.
Subject
Computer Science; Information Storage and Retrieval
ISSN
0005-1055
eISSN
1934-8371
DOI
10.3103/S0005105517030062
Publisher site
See Article on Publisher Site

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.

Journal

Automatic Documentation and Mathematical LinguisticsSpringer Journals

Published: Aug 19, 2017

References