Using Machine Learning to Aid in Data Classification: Classifying Occupation Compatibility with Highly Automated Vehicles

Volume: 29, Issue: 2, Pages: 4 - 12
Published: May 27, 2020
Abstract
Data classification is central to human factors research, and manual data classification is tedious and error prone. Supervised learning enables analysts to train an algorithm by manually classifying a few cases and then have that algorithm classify many cases. However, algorithms often fail to leverage human insight. To address this, we augment supervised learning with unsupervised learning and data visualization. Unsupervised learning...
Paper Details
Title
Using Machine Learning to Aid in Data Classification: Classifying Occupation Compatibility with Highly Automated Vehicles
Published Date
May 27, 2020
Journal
Volume
29
Issue
2
Pages
4 - 12
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