Factor Analysis Based on Association Rules

The problem of factor analysis in transactional databases is considered. A method of factor analysis based on association rules is proposed. The developed method presumes extraction rules of the given transaction database that allows assess the equivalence of the terms of features, eliminate redunda...

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Збережено в:
Бібліографічні деталі
Дата:2014
Автори: Zayko, T. A., Oliinyk, A. A., Subbotin, S. A.
Формат: Стаття
Мова:Ukrainian
Опубліковано: Інститут проблем реєстрації інформації НАН України 2014
Теми:
Онлайн доступ:http://drsp.ipri.kiev.ua/article/view/100239
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Назва журналу:Data Recording, Storage & Processing

Репозитарії

Data Recording, Storage & Processing
Опис
Резюме:The problem of factor analysis in transactional databases is considered. A method of factor analysis based on association rules is proposed. The developed method presumes extraction rules of the given transaction database that allows assess the equivalence of the terms of features, eliminate redundant features, thereby reducing the search space and reducing the time of analysis, and to form groups of qualitatively similar features. The experiments on test problems of factor analysis are conducted. Fig.: 2. Refs: 12 titles.