Magnum Opus is commercial association discovery software that implements many of my association discovery techniques. It is now a core component in BigML.
OPUS Miner is an open source implementation of the OPUS Miner algorithm which applies OPUS search for Filtered Top-k Association Discovery of Self-Sufficient Itemsets. An R package is available here.
Chordalysis implements our approaches to scalable learning of graphical models.
We have contributed numerous components to the Weka machine learning workbench. These include:
An AnDE package for R is available here. [papers]
SKDB is an open source C++ implementation of Selective KDB. A refinement that uses Hierarchical Dirichlet Processes to obtain exceptional predictive accuracy can be downloaded here.
SASANDE is an open source C++ implementation of Sample-based Selective Attribute ANDE.
ALR is an open source implementation of our big models for big data learning algorithm.
EBNC implements our algorithms for Efficient Parameter Learning of Bayesian Networks.
Softmax Logistic Regression (for both Continuous and Discrete data) – with TRON + QuasiNewton + Conjugate Gradient optimisations.
The Knowledge Factory is an expert system development environment that incorporates interactive rule induction. The Knowledge Factory works with you to produce and refine expert systems.
C4.5X is a set of source files that extends C4.5 release 6 to add decision tree grafting.
Our software for generating synthetic data streams with abrupt drift can be downloaded here.
Our system for describing the concept drift present in real-world data can be downloaded here.
Our packages for time series classification include Barycentric averaging, fast indexing (Matlab version), and fast window size selection.
One of my MDS students, Jieshen Huang, implemented impact rules in Python. The source can be found here.
geoff.webb@monash.edu
+61 3 990 53296
Prof. Geoffrey I Webb,
Faculty of Information Technology,
25 Exhibition Walk,
Monash University,
Victoria 3800, Australia.