Data Mining Software in Java

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.

Weka is open source software issued under the GNU General Public License.

Downloading and installing Weka

• Snapshots

  Every night a snapshot of the Subversion repository is taken, compiled and put together in ZIP files. For those who want to have the latest bugfixes, they can download these snapshots here.

• Stable GUI version

  Weka 3.6 is the latest stable version of Weka. There are different options for downloading and installing it on your system:

  • Windows

    Click here to download a self-extracting executable that includes Java VM 1.5
    (weka-3-6-1jre.exe; 35,086,636 bytes)

    Click here to download a self-extracting executable without the Java VM
    (weka-3-6-1.exe; 18,727,059 bytes)

    These executables will install Weka in your Program Menu. Download the second version if you already have Java 1.5 (or later) on your system.

  • Mac OS X

    Click here to download a disk image for OS X
    (weka-3-6-1.dmg; 24,743,737 bytes)

  • Other platforms (Linux, etc.)

    Click here to download a zip archive containing Weka
    (weka-3-6-1.zip; 18,926,302 bytes)

    First unzip the zip file. This will create a new directory called weka-3-6-1. To run Weka, change into that directory and type

    java -jar weka.jar

    Note that Java needs to be installed on your system for this to work. Also note, that using -jar will override your current CLASSPATH variable and only use the weka.jar.

• Book version

  Weka 3.4 is a stable version of Weka, and the one described in the data mining book.

  • Windows

    Click here to download a self-extracting executable that includes Java VM 1.4
    (weka-3-4-15jre.exe; 24,650,153 bytes)

    Click here to download a self-extracting executable without the Java VM
    (weka-3-4-15.exe; 10,534,837 bytes)

    These executables will install Weka in your Program Menu. Download the second version if you already have Java 1.4 (or later) on your system.

  • Mac OS X

    Click here to download a disk image for OS X
    (weka-3-4-15.dmg; 13,792,534 bytes)

  • Other platforms (Linux, etc.)

    Click here to download a zip archive containing Weka
    (weka-3-4-15.zip; 10,628,039 bytes)

    First unzip the zip file. This will create a new directory called weka-3-4-15. To run Weka, change into that directory and type

    java -jar weka.jar

    Note that Java needs to be installed on your system for this to work. Also note, that using -jar will override your current CLASSPATH variable and only use the weka.jar.

• Developer version
  • Windows

    Click here to download a self-extracting executable that includes Java VM 5.0
    (weka-3-7-0jre.exe; 35,767,243 bytes)

    Click here to download a self-extracting executable without the Java VM
    (weka-3-7-0.exe; 19,407,663 bytes)

    These executables will install Weka in your Program Menu. Download the second version if you already have Java 5.0 (or later) on your system.

  • Mac OS X

    Click here to download a disk image for OS X
    (weka-3-7-0.dmg; 25,720,977 bytes)

  • Other platforms (Linux, etc.)

    Click here to download a zip archive containing Weka
    (weka-3-7-0.zip; 19,619,175 bytes)

    First unzip the zip file. This will create a new directory called weka-3-7-0. To run Weka, change into that directory and type

    java -jar weka.jar

    Note that Java needs to be installed on your system for this to work. Also note, that using -jar will override your current CLASSPATH variable and only use the weka.jar.

• Old versions

  All old versions of Weka are available from the Sourceforge website.