关键词: 多状态, 指数优化, 挖掘指导, 财务数据关键挖掘

Abstract:

Introduced the research a kind of state index optimization under the guidance of key characteristics of the financial data mining method;The key characteristics of the massive financial data mining is the modern mass data situation,fast information necessary for mining method;Traditional mass financial data mining methods the general characteristics of the mining method,common characteristics of key financial data mining,the lack of considering the characteristics of financial data distribution,unable to realize the characteristics of deep mining;Proposed a state introduced the index optimization guide the key features of the financial data mining method,by introducing the idea of multiple state index optimization guidance to guide the key to the massive financial data mining,to more detailed financial data characteristics of digging,to extract the depth of the financial data;Finally USES a set of features close vocabulary in financial data mining experiment,the results show that,based on the introduction of more state index optimization with the mining method of guidance,financial data is good apart from the key characteristic and has extensive value of application.

Key words: state;index optimization;mining guidance;key financial data mining