An Analysis Model of Financial Statements Based on Data Mining
Yanhong Li, Liu Peng, Qin Zheng · 2006 3rd International IEEE Conference Intelligent Systems · 2006
The paper built an analysis model of financial statements based on data mining methods, that is making data mining methods such as clustering, association rules and decision making tree work together to step by step go into deeper analysis of existing financial statements, during which a annual assets structure statement is worked out. The data used for research is from financial statements of electronic product corporations published on Internet. The paper established and implemented an integrated data mining model for the electronic product industry. Finally, some meaningful conclusions were drawn, which is great benefit to decision makers and investors in this industry to analyze financial situations of some corporate and make better investment decisions, budget or management plans