Cyber Security Laboratory

Digital Library Laboratory

Distributed Systems Laboratory

Formal Methods Laboratory

Human-Computer Interaction and Software Development Laboratory

Machine Learning Laboratory

Software Engineering Lab

The University of Waikato Usability Laboratory

WAND Network Laboratory

Machine Learning Laboratory (G.2.11)

An exciting development in contemporary computer science is the invention and application of methods of machine learning. These enable a computer program to automatically analyse a large body of data and decide what information is most relevant. Machine learning (ML) has the potential to sift through a mass of information and convert it into knowledge that people can use. Our aim is to bring the technology out of the laboratory and provide solutions that can make a difference to people.

The overall goal of our research in machine learning is to build a state-of-the-art facility for developing and comparing techniques of ML, and to investigate their application to key areas of the New Zealand economy. A software “workbench ” called WEKA, for Waikato Environment for Knowledge Analysis, has already been used to help determine what information dairy farmers use in deciding which cows to keep in their herds. It has also been applied to mushroom classification and the analysis of milk production.

  2007 FCMS. The University of Waikato - Te Whare Wananga o Waikato