ForExPlusPlus

Implementation of the knowledge discovery framework ForEx++, which was published in:

Md Nasim Adnan and Md Zahidul Islam: ForEx++: A New Framework for Knowledge Discovery from Decision Forests In: Australasian Journal of Information Systems Vol 21, 2017.

This algorithm processes a decision forest and provides a list of high-quality rules that account for each class.

BibTeX

@article{adnan2017forex,
  title={ForEx++: A New Framework for Knowledge Discovery from Decision Forests},
  author={Adnan, Md Nasim and Islam, Md Zahidul},
  journal={Australasian Journal of Information Systems (AJIS)},
  volume={21},
  pages={1--20},
  year={2017}
}

Installation

Either download ForExPlusPlus from the Weka package manager, or download the latest release from the "Releases" section on the sidebar of Github. A video on the installation and use of the package can be found here.

Compilation / Development

This repository contains a Netbeans project. Import into Netbeans and include weka.jar, SysFor.jar, and ForestPA.jar as compile-time libraries. SysFor.jar and ForestPA.jar are available in the Weka package manager.

Valid options are:

-P Whether to print the decision forest that the ForEx++ rules were selected from (default false)

-Z Whether to remove rules with no coverage before calculating mean coverage, support, and rule length (default true)

-GC Whether to group rules by class value in the final output. (default true)

-E <acc | cov | len> Sort Method for Displaying Rules. (Default = sort by rule accuracy)

-UA Whether to use accuracy in selecting ForEx++ rules (default true)

-UC Whether to use coverage in selecting ForEx++ rules (default true)

-UR Whether to use rule length in selecting ForEx++ rules (default true)