Ripple-down Rules - Implementations

Implementations

Below is a list of known implementations of RDR

• The Erudine Behaviour Engine is a commercial software product that employs RDRs as part of its methodology for Knowledge Capture and business process modelling. Implemented in Java.
• The Ballarat Incremental Knowledge Engine (BIKE) is a comprehensive open source implementation in C++. Includes plugins for Single Classification and Multiple Classification RDRs.
• Pacific Knowledge Systems (PKS) uses a commercial product called RippleDown that is based on Multiple Classification Ripple Down Rules
• The Java data mining software WEKA has a version of Induct RDR called Ridor. It learns rules from a data set with the principal aim to predict a class within a test set.