[description]
[requirements]
[download]
[installation]
[screenshots]
[authors]
[contact]
Subgroup discovery toolkit for RapidMiner
Please also check the toolkit for Orange here.
Description
The subgroup discovery toolkit for RapidMiner implements two algorithms for subgroup discovery: SD and CN2-SD.
It is distributed free under AGPL and can be downloaded from this web page.
Requirements
One needs to have RapidMiner installed and working. RapidMiner is available for download here.
Download
Zip file: SubgroupDiscovery_RapidMiner_v1.0.0.zip (released on January 5, 2011)
Installation
- Unzip the downloaded file and copy the two extracted *.jar files to lib/plugins/ of your RapidMiner installation.
- Run RapidMiner.
- You can find two new operators ("SD" and "CN2-SD") under Modeling -> Classification and Regression -> Rule Induction.
Screenshots
An example subgroup discovery schema:
Authors
Implemented by Nejc Trdin(1).
- (1) Department of Knowledge Technologies,
Jožef Stefan Institute
Jamova 39, 1000 Ljubljana, Slovenia
Contact
Nejc Trdin
e-mail: nejc {dot} trdin {at} gmail {dot} com