Weka Simple Introduction and resource summary

Simple IntroductionWeka is an open source data mining software, which integrates many classical machine learning algorithms, which has been widely used in universities and research institutions.

For a brief introduction and simple use, please refer to the documentation: "Using Weka for Data mining".

Learning Resources:

People who have just started to learn must see the resources:

Use Weka in your Java code

Data mining: Useful machine Learning Technology English Third edition. PDF This book is preceded by an algorithm. The following chapters talk about the preliminary use of Weka.

Strongly recommend to see.

Official resources:

Software Development Team Home: http://www.cs.waikato.ac.nz/ml/index.html. It also has the book tag, it is highly recommended to download the electronic version of it to see, for machine learning algorithms and Weka use is very helpful.

Official wiki:http://weka.wikispaces.com/

"Weka in Data Mining" online learning Course (MOOC):

Course Link: http://weka.waikato.ac.nz

Slideshow: (PDF): Http://goo.gl/7cnjqG
Video on YouTube and Youku on the Weka.

Blog class:

A blog that speaks Weka development source code: koala++ ' s blog.

There are a lot of source code, to be able to participate in

Data set:Weka data set provided by the official website: collections of Datasets
Http://www.cs.waikato.ac.nz/ml/weka/datasets.html

The software also comes with some ARFF data after installation.

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Weka Simple Introduction and resource summary