Weka 3: Data Mining Software in Java
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
The goal of the nora project is to produce software for discovering, visualizing, and exploring significant patterns across large collections of full-text humanities resources in existing digital libraries.
TANAGRA is a free DATA MINING software for academic and research purposes. It proposes several data mining methods from exploratory data analysis, statistical learning, machine learning and databases area.
The Software Environment for the Advancement of Scholarly Research (SEASR), funded by the Andrew W. Mellon Foundation, provides a research and development environment capable of powering leading-edge digital humanities initiatives.
I posted an updated tech demo of RhNav - Rhizome Navigation visualizing user behavior of this blog. The graph is now centered around the page where most time is spent. Noise created by search engine robots is filtered which should clear things up quite a
RapidMiner ist die weltweit führende Open-Source Data Mining Lösung - nicht zuletzt durch die Kombination von fortschrittlichsten Technologien mit einem äußerst großen Umfang. Anwendungen von RapidMiner umfassen ein breites Spektrum unterschiedlichster Data Mining Aufgaben auf Datenmenger verschiedenster Art.
I. Mierswa, M. Wurst, R. Klinkenberg, M. Scholz, and T. Euler. KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, page 935--940. New York, NY, USA, ACM, (2006)