Application of Social Networks Data Mining in Strengthening College Ideological Environment

Application of social networks data mining in strengthening college ideological environment is studied in this manuscript. In the actual application of machine learning, the number of features is often large, and there may be irrelevant features, and there may also be interdependence between the features. However, a large amount of the above classification work is based on a single-dimensional complex network, with this basis, this paper defines the novel mining algorithm. The model is applied into the scenarios and the experimental results are also tested.