Assessing the Performance of Small and Medium-Sized Enterprises Through Data Processing Techniques and GRBT Model

Yi YU, Boyu HAN, Qiushi GAO, Weiwei HE, Jieer LIANG, Yufei LI, Zijun LIANG*

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Referred Conference Paperpeer-review

Abstract

The evaluation of small and medium-sized enterprises (SMEs) is of utmost importance given their significant role in the global economy. As such, a reliable and accurate indicator system is essential to effectively assess their performance. Currently, the existing index system for evaluating the growth of SMEs is predominantly a single index system or a composite index system designed for direct evaluation. This paper proposes a growth evaluation model for SMEs based on the growth evaluation system theory, data processing, and machine learning algorithm models. The proposed model examines the impact of various dimensions on enterprise growth. To validate its utility and feasibility, we evaluate the SMEs listed in the National Equities Exchange and Quotations (NEEQ), utilizing data processing techniques, Gradient Boosted Regression Trees (GBRT) algorithm in machine learning, and empirical analog verification to assess their growth potential.

Original languageEnglish
Title of host publicationProceedings : 2023 2nd International Conference on Machine Learning, Cloud Computing, and Intelligent Mining, MLCCIM 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages499-504
Number of pages6
ISBN (Electronic)9798350328530
DOIs
Publication statusPublished - 2023
Event2nd International Conference on Machine Learning, Cloud Computing, and Intelligent Mining, MLCCIM 2023 - Jiuzhaigou, China
Duration: 28 Aug 202331 Aug 2023

Conference

Conference2nd International Conference on Machine Learning, Cloud Computing, and Intelligent Mining, MLCCIM 2023
Country/TerritoryChina
CityJiuzhaigou
Period28/08/2331/08/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Data Processing
  • Evaluating performance
  • Gradient Boosted Regression Trees (GBRT)
  • Small and Medium Enterprises (SMEs)

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