The Inductive Software Engineering Manifesto: Principles for Industrial Data Mining

Tim Menzies, Christian Bird, Thomas Zimmermann, Wolfram Schulte, Ekrem Kocaganeli, Tom Zimmermann

Proceedings of the International Workshop on Machine Learning Technologies in Sofware Engineering |

Published by ACM

The practices of industrial and academic data mining are very different. These differences have significant implications for (a) how we manage industrial data mining projects; (b) the direction of academic studies in data mining; and (c) training programs for engineers who seek to use data miners in an industrial setting.