Debellor

Get Debellor -- Scalable Data Mining and Machine Learning at SourceForge.net

NEW!   Debellor is used now in TunedIT system for automated evaluation, benchmarking and comparison of DM/ML algorithms.

Overview

Debellor is an open source framework for scalable data mining and machine learning. You may implement your own algorithms in Debellor's architecture and combine them with pre-existing ones to create complex data processing networks and experimental setups. The unique feature of Debellor is data streaming, which enables efficient processing of massive data and is essential for scalability of algorithms.

Latest release can be downloaded here.

Features

Debellor simplifies implementation of complex yet efficient algorithms.

Debellor is written in Java and distributed under GNU General Public Licence. Hosted by SourceForge.net.

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Download

Debellor 1.0 can be downloaded here. The file contains Rseslib and Weka libraries, as well as example code (from org.debellor.example.Main in debellor.jar). Requires Java Runtime Environment (JRE) 1.6 or later.

To run the example, unzip the downloaded file and execute example.bat (on Windows) or example.sh (Linux). Note that on Linux you first have to set execution flag of the script, for example:

     chmod +x example.sh

Currently Debellor has no GUI, so you can use it only as a library of algorithms and a framework which defines base classes for your own algorithms (Cell) and data types (DataObject, DataType). Remember to put debellor.jar, plus optionally weka.jar and rseslib.jar (bundled in Debellor distribution) on CLASSPATH when compiling and executing your code. If you use IDE, for example Eclipse, you must include these JARs in dependencies for your project (in Eclipse, click Project -> Properties -> Java Build Path -> Libraries).

History of releases

In next releases

Credits

Debellor is developed by Marcin Wojnarski from Warsaw University, Faculty of Mathematics, Informatics and Mechanics, in cooperation with the research group led by Prof. Andrzej Skowron.

Contact

Please send all comments, questions, bugs... to: mwojnars (at) users.sourceforge.net
Your feedback is very helpful in further development of Debellor.