Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Analysis of the current situation of university-city integration development based on data mining technology and exploration of the optimization path
Haibo Jiang
Haibo Jiang
,
Yihuo Jiang
Yihuo Jiang
and
Xiaomei Guo
Xiaomei Guo
| Jun 30, 2023
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Jun 30, 2023
Page range:
-
Received:
Sep 28, 2022
Accepted:
Jan 09, 2023
DOI:
https://doi.org/10.2478/amns.2023.1.00476
Keywords
Higher education
,
Regional economy
,
Data mining
,
Integration development
,
Optimization path
© 2023 Haibo Jiang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.