Machine learning and Information Science
contributions to a research and teaching agenda in the brazilian Information Science
DOI:
https://doi.org/10.5433/1981-8920.2022v27n3p751Keywords:
Machine learning, Information Science, Algorithms, Web of Science, TeachingAbstract
Objective: it intends to support the construction of a research and teaching agenda on the subject of machine learning through knowledge of its main applications and most used algorithms.
Methodology: article studies references to machine learning algorithms in indexed documents in the area of Information Science in the Web of Science database.
Results and Conclusions: evaluates 3111 identified documents and concludes that the supervised approach through classification techniques is the most used in the field, with evidence for the Support Vector Machine, Decision Tree, Random Forest algorithms.
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