Research and Application of Data Mining Classification Algorithm Based on Multi-classifier Fusion

Research and Application of Data Mining Classification Algorithm Based on Multi-classifier Fusion

연구 분야: Databases

학회: 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)

This article first analyzes the basic theories and methods of data mining, data mining classifiers, multi-classifier fusion, and lays a foundation for the study of classification algorithms based on multi-classifier fusion and its application in student credit classification data mining. Secondly, a BP neural network fusion classification algorithm based on AdaBoost is designed, focusing on the main components of the algorithm and the construction of the basic classifier, as well as adjusting the sample weight, training the neural network basic classifier, and determining the weight of the basic classifier. Key issues in the process. Finally, the multi-classifier fusion method is combined with the actual needs of the project for student credit classification. Select the data items of student credit classification and perform classification mining data preprocessing, and establish a student credit classification model based on the fusion of multiple classifiers.