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The Inductive Software Engineering Manifesto: Principles for Industrial Data Mining

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

Abstract

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.

Details

Publication typeInproceedings
Published inProceedings of the International Workshop on Machine Learning Technologies in Sofware Engineering
PublisherACM
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