Prediction performance improvement for highly imbalanced monitoring data
(2010)
Presentation / Conference
Li, Y., Maguire, L., McCann, M., & Johnston, A. (2010, June). Prediction performance improvement for highly imbalanced monitoring data. Presented at 7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2010, Stratford-upon-Avon, UK
In engineering applications, we often face highly imbalanced data problems where majority of the data are from a condition and small minority are from others. Directly learning classifier on such problems would be prone to a biased classification per... Read More about Prediction performance improvement for highly imbalanced monitoring data.