The VKF-Method for Data Mining: A Survey of the State of the Art and Open Problems
- Authors: Vinogradov D.V.1
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Affiliations:
- Federal Research Center for Computer Science and Control
- Issue: Vol 45, No 6 (2018)
- Pages: 411-416
- Section: Article
- URL: https://journals.rcsi.science/0147-6882/article/view/175420
- DOI: https://doi.org/10.3103/S0147688218060102
- ID: 175420
Cite item
Abstract
This paper describes the current state of the art for the VKF-method of intelligent data analysis (data mining). This method combines three cognitive procedures (induction, abduction, and analogy) based on a probabilistic algorithm for the search of similarities. We survey the main known results and open problems.
About the authors
D. V. Vinogradov
Federal Research Center for Computer Science and Control
Author for correspondence.
Email: KRRGuest@yandex.ru
Russian Federation, Moscow, 119333
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