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A Text Mining Methodology to Discover Syllabi Similarities among Higher Education Institutions

Research article (2018 International Conference on Information Systems and Computer Science (INCISCOS), 2018) · cited 11× · AI/ML
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A Text Mining Methodology to Discover Syllabi Similarities among Higher Education Institutions

Summary

A Text Mining Methodology to Discover Syllabi Similarities among Higher Education Institutions is a scholarly article[1].

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  • A Text Mining Methodology to Discover Syllabi Similarities among Higher Education Institutions's instance of is recorded as scholarly article[2].

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Nelson Piedra

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A Text Mining Methodology to Discover Syllabi Similarities among Higher Education Institutions. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-text-mining-methodology-to-discover-syllabi-similarities-among-higher-education-institutions
MLA “A Text Mining Methodology to Discover Syllabi Similarities among Higher Education Institutions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-text-mining-methodology-to-discover-syllabi-similarities-among-higher-education-institutions.
BibTeX @misc{4ortxyz_a-text-mining-methodology-to-discover-syllabi-similarities-among-higher-education-institutions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Text Mining Methodology to Discover Syllabi Similarities among Higher Education Institutions}}, year = {2026}, url = {https://4ort.xyz/entity/a-text-mining-methodology-to-discover-syllabi-similarities-among-higher-education-institutions}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Text Mining Methodology to Discover Syllabi Similarities among Higher Education Institutions — https://4ort.xyz/entity/a-text-mining-methodology-to-discover-syllabi-similarities-among-higher-education-institutions (retrieved 2026-05-24)

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