Abstract
The construction model of the innovative pioneering service platform for undergraduates based on big data is posed through combining innovative education notion and the advantages of big data. The dynamic variation rules between the factors are found through seeking the interrelation between all the indexes of the innovative college studies and other factors thoroughly and thus the valuable information are provided timely and accurately. In this thesis, FP-Growth algorithm is applied to analyze the data in the innovative pioneering service platform for undergraduates so as to find out the useful models and rules in the data.
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