Application of Machine Learning Decision Tree Algorithm Based on Big Data in Intelligent Procurement

Application of Machine Learning Decision Tree Algorithm Based on Big Data in Intelligent Procurement

Authors

  • Yuan Feng Interdisciplinary Data Science,Duke University North Carolina USA
  • Hanzhe Li Computer Engineering,New York University ,New York USA
  • Xiangxiang Wang Computer Science,University of Texas at Arlington,Arlington,Texas,USA
  • Jingxiao Tian Electrical and Computer Engineering,San Diego State University,San Diego, USA
  • Yaqian Qi Quantitative Methods and Modeling,Baruch Collegue,New York,USA

DOI:

https://doi.org/10.53469/wjimt.2024.07(02).14

Keywords:

Procurement system, Big data, Machine learning, Decision tree

Abstract

With the massive data explosion, the era of big data has arrived. How to analyze big data efficiently has become an important topic. Machine learning, which uses artificial intelligence, is one of the most commonly used methods of data analysis. Traditional machine learning algorithms are often designed for offline batch training, but this approach is difficult to apply to large and growing data sets in big data environments. This paper takes the procurement business of manufacturing enterprises as the research object, and on the basis of comprehensive analysis of the characteristics of procurement business and data characteristics, determines the construction idea of intelligent procurement management framework, and builds an intelligent procurement management framework based on machine learning under big data. Based on this, this paper uses decision tree machine learning algorithm to transform the traditional procurement system. Make it more suitable for the current big data environment.

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Published

2024-04-15
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