Google Alerts brought this extensive masters paper to my attention, by Christopher Alan Ballinger. The paper explains what expert systems are and has a lot of DRL examples to follow.http://www.csci.csusb.edu/turner/690/example_projects/chris_ballinger_masters_project.pdf I’d be interested to see this code published online for others to play with. “In this project, we describe the design decisions and principles behindRead more →
Update!!!Must see video Land of Lisp
For a recent presentation I made an overview diagram of related research areas and ideas, so people can see how things relate. click to enlarge. http://community.jboss.org/wiki/DroolsLanguageEnhancements
Isabel Drost recently contributed some enhancements to the Guided Editor (to allow nested facts, very handy) – quite a clever patch. As if that isn’t enough, she is also a contributor to the Apache Mahout project:Mahout is: (in the projects own words): “Mahout’s goal is to build scalable, Apache licensed machine learning libraries.” The projectRead more →
I’m Gizil. I am doing my master thesis in Drools project. I’m working on decision trees. I have made an ID3, C4.5 implementation with rule generation. I’m investigating bagging and boosting algorithm in order to produce better rules. I am using Annotations on object fields to be able to process extra information on the attributes ofRead more →
Here at Zementis we have developed a decision engine called ADAPA – Adaptive Decision and Predictive Analytics (http://zementis.com/products.htm) that offers at its core batch and real-time scoring of predictive models as well as fast execution of business rules. As you readers might have guessed, the rules engine is Drools. I will briefly sketch the coreRead more →
