Research on the application of spatial partial differential equation in user oriented information mining

• Main Author: Shaofei Wu
• Format: Article
• Language: English
• Published: Elsevier 2020-08-01
• Series: Alexandria Engineering Journal
• Subjects: Partial differential equation; User intention; Data mining; Information service
• Online Access: http://www.sciencedirect.com/science/article/pii/S111001682030048X

In this paper, the application of spatial partial differential equation in user intent oriented information mining is proposed. The hybrid mining algorithm is used to avoid the defects of a single algorithm, which makes the discovery and identification of user intent efficient and practical. The v-svc algorithm can suppress the classification of errors, the hierarchical generation based on attributes can easily get the focus of services, and the fuzzy clustering method can get the service level or service quality of users. This method can be used for any complex object research similar to user intention and the evaluation mechanism of a research object. In view of the problems of traditional methods, this paper puts forward the technology of association mining based on the mathematical model of partial differential classification, and makes an experimental comparative analysis. The results show that the convergence, stability and performance of this method are good.