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.
|Tags||Communications Email Filters Scientific/Engineering Artificial Intelligence|
|Operating Systems||OS Independent|
Release Notes: This release includes a fully configured runtime and development environment. Current features include an XML configuration framework, a choice of text classifiers and persistence mechanisms. All major RDBMSs are supported, and the service interfaces are easily extendable.