Proceedings of the 1st International Conference on Business, Economics, Management Science (BEMS 2019)

Application of Data Mining Algorithm in Tax Source Management

Authors
Shenghui Yan, Wenbao Zhao, Lei Yu, Bin Zhang, Chi Zhang, Yuexin Pang
Corresponding Author
Shenghui Yan
Available Online May 2019.
DOI
10.2991/bems-19.2019.60How to use a DOI?
Keywords
Tax source management; Data mining; Strategic analysis.
Abstract

The advent of the era of big data, data from all walks of life in the big background, the related technology and data can be effective screening and application of data mining in different types of tax source management provides effective reference, and to face and solve the problem of tax management provides decision-making reference for specific applications. This paper analyzes and discusses the development of tax source management and the application of data mining algorithm.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 1st International Conference on Business, Economics, Management Science (BEMS 2019)
Series
Advances in Economics, Business and Management Research
Publication Date
May 2019
ISBN
978-94-6252-720-1
ISSN
2352-5428
DOI
10.2991/bems-19.2019.60How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shenghui Yan
AU  - Wenbao Zhao
AU  - Lei Yu
AU  - Bin Zhang
AU  - Chi Zhang
AU  - Yuexin Pang
PY  - 2019/05
DA  - 2019/05
TI  - Application of Data Mining Algorithm in Tax Source Management
BT  - Proceedings of the 1st International Conference on Business, Economics, Management Science (BEMS 2019)
PB  - Atlantis Press
SP  - 330
EP  - 333
SN  - 2352-5428
UR  - https://doi.org/10.2991/bems-19.2019.60
DO  - 10.2991/bems-19.2019.60
ID  - Yan2019/05
ER  -