The Application of Data Mining on Financial Literacy and Behavior Preference of College Students

Many countries around the world are faced with the impact of economic recession, so how to effectively make use of financial knowledge is a very important issue. Among them, college students must cultivate their financial quotient while enhancing their IQ and EQ. Since the degree of financial ability for college students will not only affect its life quality, but also have an important impact on its future social life. And the contemporary college students have many problems in financial management, such as weak of financial awareness and unreasonable financial management behavior. Through cluster analysis, we can get the financial knowledge sources and financial preference of college students of all professional categories, and find the common characteristics of financial literacy and behavior preference of college students of all professional categories through correlation analysis. In order to guide the healthy development of College Students' investment and financial management, this paper finds out the existing problems and puts forward corresponding countermeasures and suggestions from an objective point of view. This not only has a strong practical significance, but also has a certain guiding significance for the development of financial management of college students in China.