Retracted: Optimization of Ecological Mode of College Students’ Innovation and Entrepreneurship Education Based on a Big Data Analysis Model

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Bibliographic Details
Main Author: Journal of Function Spaces
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Function Spaces
Online Access:http://dx.doi.org/10.1155/2023/9879764
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author Journal of Function Spaces
author_facet Journal of Function Spaces
author_sort Journal of Function Spaces
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institution Kabale University
issn 2314-8888
language English
publishDate 2023-01-01
publisher Wiley
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series Journal of Function Spaces
spelling doaj-art-25aaa83fd15944858a8c6312ee0d13bf2025-02-03T06:45:15ZengWileyJournal of Function Spaces2314-88882023-01-01202310.1155/2023/9879764Retracted: Optimization of Ecological Mode of College Students’ Innovation and Entrepreneurship Education Based on a Big Data Analysis ModelJournal of Function Spaceshttp://dx.doi.org/10.1155/2023/9879764
spellingShingle Journal of Function Spaces
Retracted: Optimization of Ecological Mode of College Students’ Innovation and Entrepreneurship Education Based on a Big Data Analysis Model
Journal of Function Spaces
title Retracted: Optimization of Ecological Mode of College Students’ Innovation and Entrepreneurship Education Based on a Big Data Analysis Model
title_full Retracted: Optimization of Ecological Mode of College Students’ Innovation and Entrepreneurship Education Based on a Big Data Analysis Model
title_fullStr Retracted: Optimization of Ecological Mode of College Students’ Innovation and Entrepreneurship Education Based on a Big Data Analysis Model
title_full_unstemmed Retracted: Optimization of Ecological Mode of College Students’ Innovation and Entrepreneurship Education Based on a Big Data Analysis Model
title_short Retracted: Optimization of Ecological Mode of College Students’ Innovation and Entrepreneurship Education Based on a Big Data Analysis Model
title_sort retracted optimization of ecological mode of college students innovation and entrepreneurship education based on a big data analysis model
url http://dx.doi.org/10.1155/2023/9879764
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