The Design and Implementation of Big Data Analysis System for Enterprise Economic Operation

Dan Liu, Yuan Sun, Libin Zhang

2022

Abstract

In order to make big data better serve the development of local economy, the author has established an analysis platform system of comprehensive data of enterprises’ economic operation in this city with the help of big data technology. This system is a b/s mode application system developed by java language. The development environment of this system is built by Linux system and developed by ssh framework which combines spring, springmvc and hibernate. The system data is collected, converted, cleaned and counted by setting up hadoop cluster of five servers. And the DTW dynamic time warping algorithm is improved, and C4.5 decision tree classification algorithm which divides time series sets is used to predict the economic trend of local enterprises more scientifically and reasonably. From the perspective of society and government, make overall planning for the economic operation of regional enterprises, and establish a comprehensive data platform for economic operation of this city with the help of big data technology, so that big data can better serve the local economic operation and development. We will improve the economic operation monitoring and analysis system, improve the quality and level of economic operation monitoring and analysis, realize data integration and sharing, and establish a basic data classification and collection mechanism.

Paper Citation

in Harvard Style

Liu D., Sun Y. and Zhang L. (2022). The Design and Implementation of Big Data Analysis System for Enterprise Economic Operation. In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI; ISBN 978-989-758-620-0, SciTePress, pages 551-554. DOI: 10.5220/0011751800003607

in Bibtex Style

@conference{icpdi22,
author={Dan Liu and Yuan Sun and Libin Zhang},
title={The Design and Implementation of Big Data Analysis System for Enterprise Economic Operation},
booktitle={Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI},
year={2022},
pages={551-554},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011751800003607},
isbn={978-989-758-620-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI
TI - The Design and Implementation of Big Data Analysis System for Enterprise Economic Operation
SN - 978-989-758-620-0
AU - Liu D.
AU - Sun Y.
AU - Zhang L.
PY - 2022
SP - 551
EP - 554
DO - 10.5220/0011751800003607
PB - SciTePress