Applying the Mahalanobis-Taguchi strategy for software defect diagnosis
Automated Software Engineering
Statistical Analysis and Data Mining
Expert Systems with Applications: An International Journal
Pattern Recognition
An Alternative Approach for Evaluating the Binormal ROC Curve
International Journal of Green Computing
A better Beta for the H measure of classification performance
Pattern Recognition Letters
Estimation of a Priori Decision Threshold for Collocations Extraction: An Empirical Study
International Journal of Information Technology and Web Engineering
Nonparametric estimation of the ROC curve based on smoothed empirical distribution functions
Statistics and Computing
Profit optimizing customer churn prediction with Bayesian network classifiers
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
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Bringing together all the relevant material to impart a clear understanding of how to analyze ROC curves, this book covers the fundamental theory as well as various special topics. It provides illustrative examples of the major methodological developments and includes as much of the mathematical theory as necessary without making the treatment too dense. The authors survey the uses made of the methodology across a range of different areas, from atmospheric science and geoscience to experimental psychology and sociology. They also list a number of websites from which software implementing the various techniques can be downloaded.