One Method of Analysis for Large Sets of Partly Deterministic Data
- 作者: Lipkin AA1
-
隶属关系:
- Russian State University of Humanities
- 期: 编号 2 (2008)
- 页面: 19-29
- 栏目: Articles
- URL: https://ogarev-online.ru/2658-4670/article/view/328977
- ID: 328977
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JSM-method of automatic hypothesis generation is one of the most promising methods in
Data Mining. The goal of this method is the following: from the given facts database as a
starting point make suggestions on the cause of an object possessing or not possessing some
properties. This method was introduced by V.K. Finn [1]. Searching for causal-investigatory
regularities in pharmacology and analysis of complicated compounds and protein formations
in chemistry might serve an example of its usage.
The author suggests another approach, different from the canonical one, in this article.
That is set-theoretic approach.
Data Mining. The goal of this method is the following: from the given facts database as a
starting point make suggestions on the cause of an object possessing or not possessing some
properties. This method was introduced by V.K. Finn [1]. Searching for causal-investigatory
regularities in pharmacology and analysis of complicated compounds and protein formations
in chemistry might serve an example of its usage.
The author suggests another approach, different from the canonical one, in this article.
That is set-theoretic approach.
作者简介
A Lipkin
Russian State University of HumanitiesОтделение интеллектуальных систем в гуманитарной сфере; Российский государственный гуманитарный университет; Russian State University of Humanities
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