WEKA: a machine learning workbench

WEKA is a workbench for machine learning that is intended to aid in the application of machine learning techniques to a variety of real-world problems, in particular, those arising from agricultural and horticultural domains. Unlike other machine learning projects, the emphasis is on providing a working environment for the domain specialist rather than the machine learning expert. Lessons learned include the necessity of providing a wealth of interactive tools for data manipulation, result visualization, database linkage, and cross-validation and comparison of rule sets, to complement the basic machine learning tools.>

# Data Mining and Machine Learning Applications # Computer Science # Data Mining Algorithms and Applications # Machine Learning and Data Classification

Geoffrey Holmes, A. Donkin, Ian H. Witten (2002). "WEKA: a machine learning workbench". Australian and New Zealand Intelligent Information Systems Conference (ANZIIS). https://doi.org/10.1109/anziis.1994.396988