The rsubgroup package: Algorithms for subgroup discovery and analytics for the R environment!

Maintainer: Martin Atzmueller

Contact: martin@atzmueller.net

The rsubgroup package provides a collection of efficient and effective algorithms and tools for subgroup analytics. It features subgroup discovery, community mining, and subsequent analysis for the free R environment.
The package integrates an interface to the org.vikamine.kernel library of the VIKAMINE system (http://www.vikamine.org) - implementing subgroup discovery and pattern mining algorithms in Java, for example, the SD-Map* [3, 4] and the BSD [7] algorithms.


Download and install from CRAN:

Get the latest stable rsubgroup package on CRAN

Development:

rsubgroup development project site on R-Forge

Download current development package

Source Code - Repository

Installation of the current development package:


Usage hints:

License: GNU General Public License (GPL) v3 (or any later version)


References and related publications:

[1] Martin Atzmueller. Subgroup Discovery - Advanced Review. WIREs Data Mining Knowl Discov, 5:35-49, 2015.

[2] Martin Atzmueller. Subgroup Discovery. Künstliche Intelligenz, 4:52--53, 2005.

[3] Martin Atzmueller, and Florian Lemmerich. VIKAMINE - Open-Source Subgroup Discovery, Pattern Mining, and Analytics.
In: Proc. ECML/PKDD, Springer Verlag, 2012.

[3] Martin Atzmueller and Florian Lemmerich. Fast Subgroup Discovery for Continuous Target Concepts.
In: Foundations of Intelligent Systems, LNCS 5722, pp. 35-44, Springer Verlag, 2009.

[4] Martin Atzmueller. Knowledge-Intensive Subgroup Mining -- Techniques for Automatic and Interactive Discovery.
Dissertations in Artificial Intelligence-Infix (Diski), (307)IOS Press, March 2007.

[5] Martin Atzmueller and Frank Puppe. SD-Map - A Fast Algorithm for Exhaustive Subgroup Discovery.
In: Knowledge Discovery in Databases: PKDD 2006, LNCS 4213, pp. 6-17, Springer Verlag, 2006.

[6] Martin Atzmueller, Frank Puppe, and Hans-Peter Buscher. Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery.
In: Proc. 19th International Joint Conference on Artificial Intelligence (IJCAI-05), 647--652, Edinburgh, Scotland, 2005.

[7] Florian Lemmerich and Mathias Rohlfs and Martin Atzmueller. Fast Discovery of Relevant Subgroup Patterns.
In: Proc. 23rd FLAIRS Conference, AAAI Press, 2010.


Last updated: 2015-04-09 by Martin Atzmueller.