Research on the Internet Financial Mode Innovation under the Big Data and Multi-Agent Background

In this paper, we conduct research on the Internet financial mode innovation under the big data and multi-agent background. In recent years, statistical data acquisition principles of the people's bank of the fundamental structural change, trend of elastic weaves to submit the model. Using big data technology, expanding financial statistics information source directly to the consumer financial level, in a more timely and the accurate data collection at the same time, establish a more flexible, diverse monitoring indicators of monetary policy. This paper combines the multi-agent and data mining of the techniques to propose novel methodology on Internet financial mode innovation that is meaningful.