The purpose of this paper is to study the rough concept lattice and use the information flow to construct a second-order cone programming model for big data. Through the construction of the model, attribute reduction is performed on the original data…
Adaptive lasso penalized generalized linear models (GLMs) are a powerful tool for analyzing the high-dimensional sparse data where the classical linear or normal assumption is not met. In non-distributed environments, the estimation problem of…
Big Data is data whose shape and volume are rising with the passage of time and innovations in technology. This increase will give birth to more uncertain and complex situations, which will then be difficult to properly analyze and manage. Various…
This paper firstly conducts a theoretical analysis on the digital transformation of enterprises. Theories such as Marxism and new institutional economics related to the digital transformation of enterprises are sorted out. Secondly, it conducts an…
Vocational education is an important means to promote the development of the national manufacturing industry. To correctly grasp the relationship between vocational education and the labor market, we start with the quality of vocational education and…