ASSOCIATION RULE MINING BASED GENDER CLASSIFICATION USING FINGERPRINT

Abstract

Integration is a promising method of extracting data that combines the division and acquisition of organizational rules to create a separation (separation) model. Many AC algorithms have been proposed over the past decade, such as the Association Based on Classification (CBA), Classification Based on CBA-M1, CBA-M2 using Association Rules, and C4.5. This algorithm uses a variety of methods to learn rules, sort rules, cut rules, create divisions, and assign test cases to classrooms. According to our research work it is concluded that for Gender classification by using association rules, fingerprint classification extraction better choice CBA-M1 algorithm is to generate association rules.