Financial revenue analysis based on association rules mining
In financial system, the general use of financial data has also been unable to meet the inherent need of the deepening of financial information and management modernization. The financial informationization is faced with needs of the growing use of financial data analysis. Under this background, this paper analyzes the financial income of certain city in a certain period. Association rules are mined in Weka by using apriori algorithm to those data, which have be collected, preprocessed and converted. By finding the rules and knowledge, it can provide a scientific basis for decision-making and gain valuable information for comprehensive analysis and evaluate the financial balance of payments situation in certain region.