AAAI Publications, Twenty-Fifth International FLAIRS Conference

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Classifying Scientific Performance on a Metric-by-Metric Basis
Eric Belanga Bell, Eric Marshall, Ryan Hull, Keith Fligg, Antonio Sanfilippo, Don Daly, Dave Engel

Last modified: 2012-05-16


In this paper, we outline a system for evaluating the performance of scientific research across a number of outcome metrics (e.g. publications, sales, new hires). Our system is designed to classify research performance into a number of metrics, evaluate each metric’s performance using only data on other metrics, and to cast predictions of future performance by metric. This study shows how data mining techniques can be used to provide a predictive analytic approach to the management of resources for scientific research.


Data mining, Classification

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