In product life cycle, it is very important to use the manufacturing big data to build prediction model and apply it to predict whether the design task of the product can be completed within the specified time. Most of the existing prediction models in manufacturing industry are built by a single algorithm or its improved version, and neglect the limitation of using a single forecasting algorithm,...Show More
Guangdong Province is a district with a high incidence of anorectal diseases. In addition, the pathogenic factors of anorectal diseases are complex and diverse. Existing clinical diagnostic techniques are difficult to accurately analyze the pathogenic factors of anorectal diseases. Therefore, in this paper, an association analysis algorithm is proposed for solving the problem of pathogenic factors...Show More