|CBA : Classification Based on Association Ver 1.0 (Demo)|
CBA is a data mining tool developed at School of Computing, National University of Singapore. Its main algorithm was presented as a plenary paper "Integrating Classification and Association Rule Mining" in the 4th International Conference on Knowledge Discovery and Data Mining (KDD-98 ), August 23-27, 1998, New York City, USA. CBA originally stands for Classification Based on Associations. However, it turns out that it is more powerful than simply producing an accurate classifier for prediction. It can also be used for mining various forms of association rules, and for text categorization or classification.
In summary, CBA has the following unique features:1. Classification and prediction
2. Mining association rules from relational data or transactional
CBA is the central component of our DM-II suite. The full version is available based on the follows:
Academic Version (Non-Commercial use):
If you are interested in incorporating CBA into your own product, please contact us.
Click HERE to proceed to the Download Page.
IAS: Interestingness Analysis System Ver 1.0 (Beta Testing phase)
The rules generated by CBA engine could be further processed by this system. The system helps the user to find interesting/useful rules based on his/her existing knowledge about the domain. The interesting rules include conforming rules, and various types of unexpected rules.
THERE WILL BE A FEW OTHER SYSTEMS COMING UP VERY SOON.
Please direct queries and bug reports via E-mail: firstname.lastname@example.org
School of Computing, National University of Singapore