The system is a hybrid between the Pittsburgh and the Michigan approaches.
Source code is available for download.
A computer program able to perform supervised Bayesian classification from incomplete databases, with no assumption about the pattern of missing data. RoC is based on a new estimation method called Robust Bayesian Estimator and it was developed within the Bayesian Knowledge Discovery project. Free for educational and research purposes. Provides general machine learning algorithms that can be used by end users, analysts, professionals, and researchers. The main objective is to provide users with a wide variety of tools that can help mine data, accelerate development of new mining algorithms, increase software reliability, provide comparison tools, and display information visually.