Abstract
Despite many recent developments, there are still a number of central issues in inductive databases that need more research. In this paper we address two of them. The first issue is about how the discovery of patterns can use existing patterns. We will give a concrete example showing an advantage of mining both the patterns and the data. The second issue we consider is the actual implementation of inductive databases. We will propose an architectural framework for inductive databases and show how existing databases can be incorporated.
This research is carried out within the Netherlands Bio Informatics Consortium (NBIC) BioRange Project.
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de Bruin, J.S. (2006). Towards a Framework for Inductive Querying. In: Esposito, F., Raś, Z.W., Malerba, D., Semeraro, G. (eds) Foundations of Intelligent Systems. ISMIS 2006. Lecture Notes in Computer Science(), vol 4203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11875604_48
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DOI: https://doi.org/10.1007/11875604_48
Publisher Name: Springer, Berlin, Heidelberg
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