Student Work
Supervised Machine Learning for Academic Collaboration Prediction
PublicDownloadable Content
open in viewerMachine Learning has long been used for classification tasks. We show how applying a link prediction algorithm to a social network formed by co- authorship can be used to predict future collaboration in the Information Systems (IS) education community. We performed link prediction using Logistic Regression, Support Vector Machine, and Random Forest models.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Publisher
- Identifier
- E-project-102819-114650
- Advisor
- Year
- 2019
- Date created
- 2019-10-28
- Resource type
- Major
- Rights statement
Relations
- In Collection:
Items
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paper.pdf | Public | Download | ||
mqp-master.zip | Public | Download |
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