EasyMiner easy association rule mining

EasyMiner - pattern mining in the browser

EasyMiner is a web interface to the association rule mining system LISp-Miner. Its user interface resembles a web search engine. EasyMiner discovers multi-valued attributes, supports full range of logical connectives and 19 interest measures. An experimental relevance feedback module is used to filter rules based on previous user interactions.

Our RuleML papers has been just presented at RuleML 2014:

Learning Business Rules with Association Rule Classifiers
Authors: Tomáš Kliegr, Jaroslav Kuchař, Davide Sottara, Stanislav Vojíř
 
Business Rule Learning with Interactive Selection of Association Rules
Authors: Stanislav Vojíř, Přemysl Václav Duben, Tomáš Kliegr
 
Run the latest version of EasyMiner...

Demo

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 - Commented screenshot

 

Disclaimer

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.