Abstract
The research in the area of inductive databases has taken huge steps forward during recent years. Various results have been produced and published by many groups all around the world. The next big challenge for the research community together with industry is to integrate these results to the existing systems and to enhance current solutions to better answer to the real world challenges. In this article we give an industrial perspective for exploring, validating and exploiting new techniques like inductive databases. We discuss various requirements that industrial processes set for the methods and tools. Based on our own ten year experience in the field we also study reasons and background for why some systems are taken into use and some are not.
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Hätönen, K., Klemettinen, M., Miettinen, M. (2006). Remarks on the Industrial Application of Inductive Database Technologies. In: Boulicaut, JF., De Raedt, L., Mannila, H. (eds) Constraint-Based Mining and Inductive Databases. Lecture Notes in Computer Science(), vol 3848. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11615576_10
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DOI: https://doi.org/10.1007/11615576_10
Publisher Name: Springer, Berlin, Heidelberg
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