The AQ18 System for Machine Learning and Data Mining System: An Implementation and User's Guide

Date

2000-03

Authors

Michalski, Ryszard S.
Kaufman, Kenneth A.

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

This report is a comprehensive user's guide for AQ18, an environment for natural induction, machine learning and knowledge discovery. By natural induction is meant a form of inductive inference which strives to induce data descriptions that are most natural and comprehensible to people. This feature is achieved by employing a highly expressive description language (attributional calculus). Along with a learning for determining attributional rulesets from examples, or for incrementally improving the previously learned rulesets through new examples, AQ18 also incorporates a ruleset testing module (ATEST) and a module for selecting the best attributes for a given learning problem (PROMISE).

Description

Keywords

Machine learning, Data mining, Inductive inference, Learning from examples

Citation

Kaufman, K. and Michalski, R. S., "The AQ18 System for Machine Learning and Data Mining System: An Implementation and User's Guide," Reports of the Machine Learning and Inference Laboratory, MLI 00-3, George Mason University, Fairfax, VA, 2000.