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In recent years, we can see a significant increase in electronic transactions because of the popularity of the world wide web. Beside transaction increasing, we can see fraud increasing by abnormal users which leads to billions of dollars in financial losses in world. The goal of this research is studying the proposed methods in field of data mining to detect fraud in credit cards and proposing a solution base on neural networks techniques and genetic algorithm for this situation.
