Data mining tasks and methods: Equation fitting: methodology for equation fitting

Authors:
Takashi Washio;Hiroshi Motoda
Affiliations:
Associate Professor of Intelligent Systems Science, Institute for Scientific and Industrial Research, Osaka, Japan;Professor of Intelligent Systems Science, The Institute of Scientific and Industrial Research, Osaka University, Japan
Venue:
Handbook of data mining and knowledge discovery
Year:
2002

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Abstract

This article describes basic methods for equation fitting to a set of data acquired under static and dynamic environments. First, the dependency checking technique to identify a set of variables appearing in each equation is explained. Second, the principles and algorithms to discover a single equation and multiple equations are described. Finally, representative approaches to use a priori and generic knowledge to enhance the plausibility of the discovered equation formulas are mentioned.