Naiban: Version 0.1.0

Naiban is fully functioning standalone application and an Avalon/Keel classification service:

  • Naive-Bayes based algorithms
  • JDBC backed persistance
  • Supports Text and Numerics

Naive Bayes learning classifiers have recently gained popularity in their application to the spam vs. ham problem. By training only on misclassified data, these classifiers provide a very efficient and accurate method of classifing text.

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.