Multi-bit Collection and Hierarchical Classification Algorithm of Computer Application Fundamentals based Teaching Data under the Background of Hybrid Clustering Algorithm

The principle and defects of general static background extraction algorithms are analyzed, a novel background extraction method based on improved hybrid clustering algorithm is proposed, and the concept of classification analysis is given. This paper analyzes the behavior of learning online courses. Classification, and sorting out and summarizing the current situation of learning behavior data collection and mining analysis methods respectively, to provide a theoretical basis for improving the online course learning behavior data collection model. Learning analysis technology is based on massive data, using the results of data mining, targeting the online learning environment and students’ online learning, exploring information from the data and analysis models generated by learners, and making predictions and suggestions for learning.