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Copyright © 2022 Qingyi Meng and Hongbo Li. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/

Abstract

In ethnic minority areas, the rich cultural color has strong attraction and market competitiveness. While making full use of it to promote the local economic development of ethnic minorities, it promotes the inheritance and protection of ethnic culture and the cultural exchange and integration among multiethnic groups. In this case, a new data mining (DM) technology came into being. DM is a new data processing technology for developing information resources. The object of DM is not only a database but also a file system, or any other data collection organized together. Based on DM technology, this paper studies the industrialization innovation of ethnic minority cultural and artistic resources, which carries out DM on the basis of rational utilization of ethnic minority cultural resources, boldly innovates, uses new scientific and technological achievements and new artistic expression means, establishes the people-oriented service concept of cultural and artistic resources, and takes the individual needs of the public and the scientific analysis results of big data as the basis to provide a satisfactory and ideal cultural and artistic feast for the public.

Details

Title
Innovation Path of Industrialization of Ethnic Minority Culture and Art Resources Based on DM Technology
Author
Meng, Qingyi 1 ; Li, Hongbo 1   VIAFID ORCID Logo 

 Yantai University, Yantai, Shandong 264005, China 
Editor
Song Jiang
Publication year
2022
Publication date
2022
Publisher
John Wiley & Sons, Inc.
ISSN
1024123X
e-ISSN
15635147
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2687536518
Copyright
Copyright © 2022 Qingyi Meng and Hongbo Li. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/