Open AccessResearch on the development trend of intelligent leisure sports based on big data analysis
Author(s) -
Feng Lu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1941/1/012053
Subject(s) - big data , principal component analysis , computer science , regression analysis , data mining , linear regression , data warehouse , artificial intelligence , machine learning
Big data analysis often faces huge data samples. Its characteristics can be summarized as large amount of data, fast speed, multiple types, value, and authenticity. It is often used in data warehouse, data security, data analysis, data mining, etc. PLS regression analysis is a predictive modeling technique in big data analysis, which integrates principal component analysis, canonical correlation, and multiple linear regression algorithms. In a complex case analysis with multiple dependent variables, the main idea of components simplifies the model. The means of deriving the expressions of independent variables and dependent variables from the mapping relationship between components has a great advantage. This paper collects the attributes and market data of China's smart leisure sports equipment in 2020, establishing a PLS regression analysis model to analyze the development trend of China's smart leisure sports.