Software created by our researchers.
Waikato Environment for Knowledge Analysis
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualisation. It is also well-suited for developing new machine learning schemes.
The Advanced Data mining And Machine learning System
The Advanced Data mining And Machine learning System (ADAMS) is a flexible workflow engine aimed at quickly building and maintaining data-driven, reactive workflows, easily integrated into business processes.
Instead of placing operators on a canvas and manually connecting them, a tree structure and flow control operators determine how data is processed (sequentially/parallel). This allows rapid development and easy maintenance of large workflows, with hundreds or thousands of operators.
Greenstone is a suite of software for building and distributing digital library collections. Greenstone provides a new way of organising information and publishing it on the internet or on CD-ROM. Greenstone is produced by the New Zealand Digital Library Project at the University of Waikato, and developed and distributed in cooperation with UNESCO and the Human Info NGO. It is open-source, multilingual software, issued under the terms of the GNU General Public License.
for Events in Reactive Systems. It provides a powerful graphical user interface to create finite-state machine models of discrete event
control systems and to verify whether they satisfy critical properties.
Its compositional verification and synthesis facilities have been applied to systems of an industrial scale. WATERS is developed in collaboration with Chalmers University of Technology in Gothenburg, Sweden and distributed together with Supremica.