Improvement of relative accreditation methods based on data mining and artificial intelligence for higher education

Research article (2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), 2016) · cited 14× · AI/ML
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Improvement of relative accreditation methods based on data mining and artificial intelligence for higher education

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Improvement of relative accreditation methods based on data mining and artificial intelligence for higher education is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improvement of relative accreditation methods based on data mining and artificial intelligence for higher education. Retrieved May 24, 2026, from https://4ort.xyz/entity/improvement-of-relative-accreditation-methods-based-on-data-mining-and-artificial-intelligence-for-higher-education
MLA “Improvement of relative accreditation methods based on data mining and artificial intelligence for higher education.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improvement-of-relative-accreditation-methods-based-on-data-mining-and-artificial-intelligence-for-higher-education.
BibTeX @misc{4ortxyz_improvement-of-relative-accreditation-methods-based-on-data-mining-and-artificial-intelligence-for-higher-education_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improvement of relative accreditation methods based on data mining and artificial intelligence for higher education}}, year = {2026}, url = {https://4ort.xyz/entity/improvement-of-relative-accreditation-methods-based-on-data-mining-and-artificial-intelligence-for-higher-education}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improvement of relative accreditation methods based on data mining and artificial intelligence for higher education — https://4ort.xyz/entity/improvement-of-relative-accreditation-methods-based-on-data-mining-and-artificial-intelligence-for-higher-education (retrieved 2026-05-24)

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