JAVA Architecture of Chinese Online Guiding Systematic Framework based on Data Mining and Artificial Intelligence

JAVA architecture of the Chinese online guiding systematic framework based on the data mining and artificial intelligence is designed in this research. The configuration stage of heterogeneous data sources is mainly at the data source layer. The data sources mainly include structured data from admissions systems, educational management systems, learning platforms, and learning spaces, and non-relational data such as the server system logs and external data from the schools. Systematically organize the connection access methods and data structures of these data sources. Inspired by this requirement, we design the data model to enhance the traditional JAVA structure. The data mining model, especially the fuzzy clustering is integrated to then construct the robust framework. The experimental results have proven that the proposed model is efficient.