arm-java

An implementation of association rule data mining in Java. Frequent itemset generation via FPGrowth, and rule generation via appgenrules.

For an overview of assocation rule mining, see Chapter 5 of Introduction to Data Mining, Kumar et al: Association Analysis: Basic Concepts and Algorithms.

Build with Maven:

  mvn package

Run with:

    java -cp target/arm-1.0-SNAPSHOT.jar nz.org.pearce.arm.ARM

For example:

    java -cp target/arm-1.0-SNAPSHOT.jar nz.org.pearce.arm.ARM \
        --input datasets/kosarak.csv \
        --output rules \
        --min-support 0.05 \
        --min-confidence 0.05 \
        --min-lift 1.5

To run tsts:

    mvn test