Naiban is a complete standalone Java application and an Avalon/Keel framework classification service. It features Naive-Bayes based algorithms, JDBC backed persistance, and support for text and numerics. Naive Bayes learning classifiers have recently gained popularity in their application to the spam vs. ham problem. Naiban provides a learning classifier service to the Avalon/Keel framework, and comes complete with two text classifiers and a simple numeric classifier. It is easily extendable, and provides two persistance mechanisms for storing trained data.
