One Method of Analysis for Large Sets of Partly Deterministic Data
- Авторлар: Lipkin AA1
-
Мекемелер:
- Russian State University of Humanities
- Шығарылым: № 2 (2008)
- Беттер: 19-29
- Бөлім: Articles
- URL: https://journal-vniispk.ru/2658-4670/article/view/328977
- ID: 328977
Дәйексөз келтіру
Толық мәтін
Аннотация
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.
Негізгі сөздер
Авторлар туралы
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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