Optimization Technique of Association with ACO for High Resolution Image Classification: Survey

Data mining is a process of discovering patterns and relationships in data with the help of various data analysis tools, to make valid predictions. Association rule learning which finds the relationships between the variables. Association rules are important features for image classification, mining and rational selection to obtain accurate classification. In this paper, it is an approach to present association rules analysis & ACO together and applied to object-oriented of high resolution image classification. Sometimes association rule is referred to as market basket analysis. Classification is the task of classify the new data by using classification algorithm. In this paper I work on the implementation of optimization algorithm (ACO) based on artificial intelligent scheme for finding more optimal rules for classification. Keywords- Association rule, Apriori algorithm, ACO (Ant Colony Optimization Algorithm), Classification of high resolution image I