WEKA - Experiences with a Java Open-Source Project

13 years 5 months ago

Download jmlr.csail.mit.edu

WEKA is a popular machine learning workbench with a development life of nearly two decades. This article provides an overview of the factors that we believe to be important to its success. Rather than focussing on the software's functionality, we review aspects of project management and historical development decisions that likely had an impact on the uptake of the project.

Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geof

Real-time Traffic

Development Life | Historical Development Decisions | JMLR 2010 | Popular Machine |

claim paper

» Shared Mental Models among Open Source Software Developers

» Comparison of Software Reliability Assessment Methods for Open Source Software

» Bioclipse an open source workbench for chemo and bioinformatics

» Cellmotility a crossplatform open source application for the study of cell motion paths

» Benchmarking and Comparing Encog Neuroph and JOONE Neural Networks

» An Empirical Study of Object Protocols in the Wild

» JAPROSIM A Java framework for Process Interaction Discrete Event Simulation

» Identifying licensing of jar archives using a codesearch approach

» Keyword programming in java

Post Info
More Details (n/a)

Added	19 May 2011
Updated	19 May 2011
Type	Journal
Year	2010
Where	JMLR
Authors	Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten

Comments (0)

Sciweavers

WEKA - Experiences with a Java Open-Source Project

Development Life | Historical Development Decisions | JMLR 2010 | Popular Machine |

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers