EasyMiner is a web-based visual interface for association rule learning. This paper presents a preview of the next release, which uses the R environment as the data processing backend. EasyMiner/R uses the arules package to learn rules. It uses the Classications Based on Associations (CBA) algorithm as a classier and to perform rule pruning. Experimental results show that EasyMiner with the R-based backend is able to handle larger datasets than the previous version.

1. EasyMiner/R Preview
Towards a Web Interface for Association Rule Learning and Classification in R
Stanislav Vojíř, Václav Zeman, Jaroslav Kuchař*, Tomáš Kliegr
Faculty of Informatics and Statistics
University of Economics, Prague
Czech Republic
* Also affiliated with
Web Intelligence Research Group
Faculty of Information Technology
Czech Technical University in Prague

2. What is association rule learning?
Association rules
learner
Parameters:
Minimum confidence: 90%
Minimum support: 20%
because:
one transaction out of five contains butter, bread and milk
support is 1/5=20%
all transactions which contain butter and bread contain milk
confidence is 1/1=100%
Example adapted from https://en.wikipedia.org/wiki/Association_rule_learning

3. EasyMiner predecessor
(RuleML 2010 Challenge)

4. Current version (2015)

5. Features of EasyMiner/R
 Discovers association rules in given dataset
 Interactive discovery
 Found rules are editable
 Save discovered rules to (business rules) knowledge base
 Create classification models
 Fully automatic
 Human editable rule set
 Less rules with built-in rule pruning

6. Evaluation
 EasyMiner offers two backends: LISp-Miner and the arules
package from R
 LISp-Miner offers many advanced features, including dynamic
binning during mining and refined ways of constraining the search
space
 When these features are not required, the R arules backend is
faster, especially on larger datasets
Evaluation on a dataset generated for the ESWC 2014 Recommender Systems
Challenge (72,371 rows, 7 attributes)

7. Live demo
http://easyminer.eu