Application of association rule mining in Chinese part-of-speech data
G. WU, Qingqing Lin · 2025
The development of the information age has brought people rich and diverse data information, changed people's life and work mode, and raised the requirements of information mining and application. After entering the era of big data, in the face of the ever-increasing network information and data, how to mine valuable content from it and apply it into practice is the main topic of comprehensive exploration by scholars in various fields. Data mining and knowledge discovery technologies are the theoretical technologies generated from it, which have been comprehensively promoted in practice and development, and show strong vitality. It is one of the important fields of database research. On the basis of understanding the current situation of Chinese text data mining, this paper constructs a data mining model with data warehouse as the core according to the basic concepts, implementation process and knowledge types of data mining, clarifies the association rule algorithm applied in Chinese parts-of-speech data, and deeply discusses the structure and application function of Chinese parts-of-speech data and its association mining system. Finally, more valuable content is used in data analysis.