Average Wage Prediction Based on Logistic Model

Abstract:

In this paper, data mining technology is applied to analyze the average wage of staff and workers in urban of Sichuan Province, China. The salary data in the past 22-year is sourced from Sichuan Provincial Government to publish during 1991 to 2012. Combined with Chinese national economic-development strategy, the Logistic Prediction Model is established by our much research. The future average wage from 2013 to 2020 year of staff and workers in urban is predicted and its growth trend in the long term is pointed out. The macro analysis to predicting data from Logistic model proves the prediction method and its conclusion is of certain reference value.

• Periodical: Applied Mechanics and Materials (Volume 483)
• Pages: 615-618
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.483.615
• Online since: December 2013
• Authors: Zheng Xi Wei*, Jin Ming Liang, Pan Zhao
• Keywords: Data Mining (DM), Economic Prediction, Information Technology (IT), Logistic Model

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