Proceedings of the 3rd International Conference on Economics and Management, Education, Humanities and Social Sciences (EMEHSS 2019)

Refined Execution of Courts based on Big Data and Artificial Intelligence

Authors
Jiejing Yao
Corresponding Author
Jiejing Yao
Available Online June 2019.
DOI
10.2991/emehss-19.2019.1How to use a DOI?
Keywords
Difficult Execution, Big data, Artificial intelligence, Property Monitoring and Control Introduction.
Abstract

By promoting the change of big data execution thinking, it will accelerate the integration of traditional execution and digitalized execution, and use digitalized execution to promote autonomous execution. According to the address data of taxi-hailing apps, Taobao receiving, navigation software and the like combined with mobile phone APP positioning information, the place of residence, business, frequent access and real-time location of the executed person are determined, and combining the electronic delivery method of big data, the problem of finding the executed person will be solved.

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 3rd International Conference on Economics and Management, Education, Humanities and Social Sciences (EMEHSS 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2019
ISBN
10.2991/emehss-19.2019.1
ISSN
2352-5398
DOI
10.2991/emehss-19.2019.1How 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  - Jiejing Yao
PY  - 2019/06
DA  - 2019/06
TI  - Refined Execution of Courts based on Big Data and Artificial Intelligence
BT  - Proceedings of the 3rd International Conference on Economics and Management, Education, Humanities and Social Sciences (EMEHSS 2019)
PB  - Atlantis Press
SP  - 1
EP  - 4
SN  - 2352-5398
UR  - https://doi.org/10.2991/emehss-19.2019.1
DO  - 10.2991/emehss-19.2019.1
ID  - Yao2019/06
ER  -