Construction Project Cost Management Model Based on Big Data

Abstract

The advent of the era of big data and the development of machine learning have brought new opportunities to the field of engineering cost in China. This paper mainly studies the construction project cost management model based on big data. On the analysis of the listing of large amount of data that exist in the proper nouns, the characteristics of dispersion characteristics of distribution, based on these features to implement and compare several listing classification method, the effect of and analyzes the reason of the result, refer to the classification results of traditional method at the same time, puts forward a project cost listing standardization based on polynomial bayesian classification method. In this paper, we propose a method to detect abnormal data by using the comprehensive unit price as the classification label, and study its association with the description of list according to the list classification method, and verify the effectiveness of this method through experiments.