WEKA 3.1.6 README
NOTE: We are following the Linux model of releases, where, an even second digit of a release number indicates a "stable" release and an odd second digit indicates a "development
www.cs.tufts.edu/~ablumer/weka/README.html

WEKA Tutorial
WEKA Tutorial 6/17/02 Click here to start
www.cs.utexas.edu/users/ml/tutorials/Weka-tut/index.htm

WEKA
What is WEKA? (new version 3.4 installed Jan 22, 2004) You are about to learn WEKA, a practical machine learning tools package to help you in your following lab
www.cs.iastate.edu/~cs573x/weka.html

Data Preprocessing in WEKA
The following guide is based WEKA version 3.4.1 Additional resources on WEKA, including sample data sets can be found from the official WEKA Web site.
maya.cs.depaul.edu/~classes/ect584/WEKA/preprocess.html

Modified WEKA
Introduction. Weka is a collection of machine learning algorithms for data mining tasks. Weka contains tools for data preprocessing, classification, regression, clustering
davis.wpi.edu/~xmdv/weka

Classification via Decision Trees in WEKA
The following guide is based WEKA version 3.4.1 Additional resources on WEKA, including sample data sets can be found from the official WEKA Web site.
maya.cs.depaul.edu/~classes/ect584/WEKA/classify.html

ECT 584 - Data Mining in Weka
Data Mining with WEKA. This guide/tutorial uses a detailed example to illustrate some of the basic data preprocessing and mining operations that can be performed using WEKA.
maya.cs.depaul.edu/~Classes/Ect584/Weka

Weka LibSVM (WLSVM): Integrating LibSVM into Weka Environment
WLSVM is a customized Weka Classifier to give an access to the LibSVM from Weka machine learning environment.
www.cs.iastate.edu/~yasser/wlsvm

Association Rule Mining with WEKA
The following guide is based WEKA version 3.4.1 Additional resources on WEKA, including sample data sets can be found from the official WEKA Web site.
maya.cs.depaul.edu/~classes/ect584/WEKA/associate.html

Text Analysis - Examples
20 Newsgroups Example. Overview; Download data set; Create ARFF header and data files; Create a Weka Model; Run Classifier Annotator; Troubleshooting; Overview
informatics.mayo.edu/text/index.php?page=weka-examples