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Data mining technology is generally to process, observe and analyze large-scale data by use of statistic analysis software, aiming to find the hidden rule or effective information existing in data. The application core of the data is large-scale college English student individual learning which completely depends on data source. With data mining technology as the entry point and in combination with the analysis on college English student individual learning characteristics, college English student individual learning implementation access based on data mining combination model has been explored in the thesis. Research on variable substitution to non-linear regression forecast model precision's influence, and seek the modelling method that can improve the forecast precision. Based on the Data mining, the transform in space and the weighted processing combined method, make full use of information that the primary data provide.

Research on college English student individual learning based on data mining model