Abstract
Inductive and deductive inference are both essential ingredients of scientific activity. This paper takes a database-centred view some of the crucial issues arising in any attempt to combine these two modes of inference. It explores how a recently-proposed class of database systems (that support the execution of composite tasks, each of whose steps may involve knowledge discovery, as an inductive process, and or query answering, as a deductive one) might deliver significant benefits in the context of a case study where the specific characteristics of such systems can be more vividly perceived as being relevant and nontrivial.
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Aragão, M.A.T., Fernandes, A.A.A. (2004). Seamlessly Supporting Combined Knowledge Discovery and Query Answering: A Case Study. In: Suzuki, E., Arikawa, S. (eds) Discovery Science. DS 2004. Lecture Notes in Computer Science(), vol 3245. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30214-8_37
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DOI: https://doi.org/10.1007/978-3-540-30214-8_37
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