Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on Enterprise Intelligent Knowledge Management and Decision Making Based on Big Data Mining

Download as PDF

DOI: 10.23977/acccm.2023.050805 | Downloads: 18 | Views: 398

Author(s)

Xiong Jian 1,2, Yang Feng 3

Affiliation(s)

1 Guizhou Industry Polytechnic College, Guiyang, 550008, China
2 Jose Rizal University, Mandaluyong, Manila, Philippines, 0900, Philippines
3 Lijiang Culture and Tourism College, Lijiang, Yunnan, 674100, China

Corresponding Author

Xiong Jian

ABSTRACT

With the continuous development of the Internet, the Internet of Things and cloud computing, as well as the wide application of intelligent terminals, various forms of data explosion, the era of big data has arrived. Big data is critical to the growth of manufacturing and strategic assets and has huge potential to help revitalize the data industry and change the way people research and think. Big data mining refers to extracting valuable information for users from massive data with various data types. These data types change rapidly and the data density is low, making relevant services acceptable to users. Enterprise knowledge management uses big data mining to preserve basic knowledge. By filtering, selecting, extracting, saving, converting and using original knowledge, it can conduct intelligent processing according to the normative knowledge, experience and management intention required by the company. Providing the right knowledge to the right people at the right time in the right way can increase the feasibility of big data mining knowledge, reduce the chaos caused by information explosion, and effectively support the company to make effective management decisions and improve the level of knowledge management. Based on the above content, enterprises must introduce big data analysis technology in the process of knowledge management, which can better help enterprises to achieve the goal of sustainable development.

KEYWORDS

Big data, Enterprise intelligence, Knowledge management, Decision making

CITE THIS PAPER

Xiong Jian, Yang Feng, Research on Enterprise Intelligent Knowledge Management and Decision Making Based on Big Data Mining. Accounting and Corporate Management (2023) Vol. 5: 27-34. DOI: http://dx.doi.org/10.23977/acccm.2023.050805.

REFERENCES

[1] Fang J, Peng C. Research on Enterprise Intelligent Manufacturing Capability Evaluation Based on Maturity Model [J]. Francis Academic Press, 2020(9).
[2] Wang X, Xu X, Zhang J, et al. Research on Intelligent Construction Algorithm of Subject Knowledge Thesaurus Based on Literature Resources [J]. Journal of Physics: Conference Series, 2021, 1955(1):012038 (10pp).
[3] Zeng H. Scenario Design of Intelligent SPOC Knowledge Farm Based on Flexible Learning. 2020.
[4] Mahiddin N B, Othman Z A, Bakar A A, et al. An Interrelated Decision-Making Model for an Intelligent Decision Support System in Healthcare [J]. IEEE Access, 2022(10):10.
[5] Corrales-Garay D, Ortiz-De-Urbina-Criado M, Mora-Valentin E M. Understanding open data business models from innovation and knowledge management perspectives[J]. Business process management journal: Developing re-engineering towards integrated process management, 2022(2):28.
[6] Alkadhimi A, Cunningham S J, Parekh S, et al. Decision making regarding management of compromised first permanent molars in patients with molar incisor hypomineralisation: A comparison of orthodontists and paediatric dentists [J]. Journal of orthodontics, 2022(1):49.
[7] Wlabc D, Szabc D, Ywabc D, et al. Research on intelligent damage detection of far-sea cage based on machine vision and deep learning. 2021.
[8] Peng F, Xiong W, Xia D, et al. Research on Intelligent Load Forecasting Method for Electric Power Users Based on Data State Drive[J]. Electric Engineering, 2020.
[9] Liang J. Analysis of Intelligent English Learning System Based on Intelligent Data Collection Technology[C]// International Conference On Signal And Information Processing, Networking And Computers. Springer, Singapore, 2022.
[10] Tokarev K, Lebed N, Prokofiev P, et al. Monitoring and Intelligent Management of Agrophytocenosis Productivity Based on Deep Neural Network Algorithms[C]// International Conference on Intelligent Computing & Optimization. Springer, Cham, 2023.
[11] Ding P, Zheng Q, Shen Y, et al. Research on Cloud-Edge Collaboration Architecture for Intelligent Acquisition of Digital City Information Based on 5G Customized Network [J].2022.
[12] Zhang X, Li P, Wu W, et al. Research on Interactive Modeling and Intelligent Analysis Platform Based on Railway Big Data[J]. DEStech Publications, 2020.
[13] Allam S. Research on intelligent medical big data system based on Hadoop and blockchain [J]. JETIR (www.jetir.org), 2021(4).
[14] Mian T S, Ghabban F. Competitive Advantage: A Study of Saudi SMEs to Adopt Data Mining for Effective Decision Making [J]. Data analysis and information processing, 2022, 10(3):15.
[15] Salahat M A. Employee Empowerment, Knowledge Management and Decision-making Agility; Mediating Role of Extra-role Performance [J]. Human Resources Management Academic Research Society (HRMARS), 2021(7).
[16] Ms M. The Impact of Decision-Making Models and Knowledge Management Practices on Performance [J]. Allied Business Academies, 2021.
[17] Mukhtar M, Yamin M. The Influence of Academic Culture, Management Knowledge and Interpersonal Communication on Decision Making by the Head of Private Islamic Colleges in Jambi Province [J].2020(2).
[18] Xia Y. Big data based research on the management system framework of ideological and political education in colleges and universities [J]. Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 2021(2):40.
[19] Li M. Research on Financial Management Algorithm Based on Machine Learning in Big Data Era. 2021.
[20] Li J. Research on the Construction of Intelligent Employment Platform for College Graduates Based on Big Data[J]. DEStech Publications, 2020.

Downloads: 15024
Visits: 191424

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.