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Scientific data mining with StripMinerTM

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4 Author(s)
M. J. Embrechts ; Dept. of Decision Sci. & Eng. Syst., Rensselaer Polytech. Inst., Troy, NY, USA ; F. Arciniegas ; M. Ozdemir ; M. Momma

The paper introduces scientific data mining, the standard data-mining problem, and the strip-mining problem. StripMinerTM , a shell program for feature reduction and predictive modeling, integrates the executions of several different machine-learning models (partial least squares regression, genetic algorithms, support vector machines, neural networks, and local learning). This paper introduces the StripMinerTM code, its functionality, and its options

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Soft Computing in Industrial Applications, 2001. SMCia/01. Proceedings of the 2001 IEEE Mountain Workshop on

Date of Conference: