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Computational Scientific Discovery and Inductive Databases
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Saso Dzeroski |
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Invited talk at The International Workshop on Active Mining (AM-2002), held at The 2002 IEEE International Conference On Data Mining (ICDM-02), Maebashi City, Japan
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Computational scientific discovery is concerned with
applying computational methods to automate scientific activities.
Much of the work in computational scientific discovery
has put emphasis on formalisms used to communicate among scientists,
including numeric equations. Inductive databases embody
a database perspective on knowledge discovery,
where knowledge discovery processes are considered as query processes.
In addition to normal data, inductive databases contain patterns.
To bring equation discovery and inductive databases together,
we consider inductive databases that contain patterns in the form of
equations.
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S. Dzeroski. Computational scientific discovery and inductive databases. In Proceedings of International Workshop on Active Mining (AM-2002), Maebashi City, Japan, December 9, 2002. IEEE Computer Society, 2002, pages 4-15.
Abstract: [ps] [pdf]
Slides: [ps] [pdf]
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