Data mining, linguistic association, confirmation measures, support measure, confidence measure, association rule.

This paper is devoted to fuzzy association analysis. Our motivation to this work arose from mining of linguistic associations, however found relations among mined associations are valid in general. Three the most commonly used support and confidence measures are considered and various relations among found and previously known associations given by confirmation measures are studied. Good understanding of such relationships is essential for creating more efficient algorithms, for subsequent work with found associations as well as for cooperation with the consumer of the data mining process.

This paper is devoted to fuzzy association analysis. Our motivation to this work arose from mining of linguistic associations, however found relations among mined associations are valid in general. Three the most commonly used support and confidence measures are considered and various relations among found and previously known associations given by confirmation measures are studied. Good understanding of such relationships is essential for creating more efficient algorithms, for subsequent work with found associations as well as for cooperation with the consumer of the data mining process.