The VKF-Method for Data Mining: A Survey of the State of the Art and Open Problems
- 作者: Vinogradov D.V.1
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隶属关系:
- Federal Research Center for Computer Science and Control
- 期: 卷 45, 编号 6 (2018)
- 页面: 411-416
- 栏目: Article
- URL: https://journals.rcsi.science/0147-6882/article/view/175420
- DOI: https://doi.org/10.3103/S0147688218060102
- ID: 175420
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详细
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.
作者简介
D. Vinogradov
Federal Research Center for Computer Science and Control
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