Interest Measures for Fuzzy Association Rules Based on Expectations of Independence

المؤلف

Burda, Michal

المصدر

Advances in Fuzzy Systems

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-7، 7ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-10-07

دولة النشر

مصر

عدد الصفحات

7

التخصصات الرئيسية

الرياضيات

الملخص EN

Lift, leverage, and conviction are three of the best commonly known interest measures for crisp association rules.

All of them are based on a comparison of observed support and the support that is expected if the antecedent and consequent part of the rule were stochastically independent.

The aim of this paper is to provide a correct definition of lift, leverage, and conviction measures for fuzzy association rules and to study some of their interesting mathematical properties.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Burda, Michal. 2014. Interest Measures for Fuzzy Association Rules Based on Expectations of Independence. Advances in Fuzzy Systems،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1015329

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Burda, Michal. Interest Measures for Fuzzy Association Rules Based on Expectations of Independence. Advances in Fuzzy Systems No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1015329

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Burda, Michal. Interest Measures for Fuzzy Association Rules Based on Expectations of Independence. Advances in Fuzzy Systems. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1015329

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1015329