EasyMiner is a web interface to the association rule mining and preparation of classification rule sets based on two variants of data mining backend: system LISp-Miner or the system R (package APRIORI). Its user interface resembles a web search engine.
The demonstration concerns fictious bank Barbora that was a part of Discovery challenge of the PKDD99 conference held in Prague in September 1999. The goal of the analysis is to find interesting segments of clients and types of loans. More information about this dataset is available here.
A quick intro to EasyMiner can be found in the feature tutorial.
EasyMiner is an experimental academic project. This public interface is provided only for demonstration purposes. No precautions relating to privacy and safety of connected datasets are in place. Use at your own risk.