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.

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

Publisher  ACM

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