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.