Outlier Detection Using Active Learning:

Requirements

- R Version 3.2.3

    (UBUNTU)

    Uninstall old R:

        sudo apt-get remove r-base-core

    Then:

        sudo gedit /etc/apt/sources.list

    Add the following to the file:

        deb http://cran.rstudio.com/bin/linux/ubuntu precise/

    and exit gedit.

    Then copy/paste these commands into the command line:

        sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys E084DAB9

        sudo add-apt-repository ppa:marutter/rdev

        sudo apt-get update

        sudo apt-get upgrade

        sudo apt-get install r-base


    (MACOS)

    https://cran.r-project.org/bin/macosx/

- R Studio 

    Download the relevant version from https://www.rstudio.com/products/rstudio/download/

Usage:

1. Open R studio and run the file installPackages.R
2. Open ui.R and server.R in R studio
3. Click on runapp button on the top!

Input Files:

1. The relevant Oracle could be found in /data/oracle
2. The relevant Outlier file could be found in /data/outliers

Output Files:

1. The relevant output files would be stored in /www/

Note: Incase the outlier file is not detected, you can run the file detectOutliers.R and enter relevant input parameters.