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Projektbeschreibung

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.

Systemanforderungen

Die Systemvoraussetzungen sind nicht definiert
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2003-09-11 05:33
0.1.0

Diese Version enthält ein vollständig konfiguriert und Laufzeit-und Entwicklungsumgebung. Aktuelle Features zählen ein XML-Konfiguration, eine Auswahl von Text-Klassifikatoren und Persistenz-Mechanismen. Alle wichtigen RDBMS unterstützt werden, und die Service-Schnittstellen sind leicht erweiterbar.
Tags: Initial freshmeat announcement
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.

Project Resources