Next Generation of Data-Mining Applications

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* This book presents the next generation of data mining applications based on state-of-the art methodologies and techniques for analyzing enormous quantities of raw data in high-dimension * Each chapter describes the data mining development process, results, and experiences with new data mining tools and techniques * Includes twenty-five novel and diverse contributions from experienced and well-respected data mining scientists and practitioners that describe their recent applications using state-of-the-art methods and algorithmsThe solution is obtained by stopping the agglomeration process when k clusters
are left. ... As classification models, we have used multilayer (two-layered)
feedforward neural network models with the number of output ... We have used
two learning algorithms: resilient propagation (Riedmiller and Braun, 1993) and
Levenberg-Marquardt (Hagan and Menhaj, 1994). ... neural network models for
predicting the existence of the damage within the substructures using a manual
TABLE 2.2.

Title

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Next Generation of Data-Mining Applications

Author

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Mehmed Kantardzic, Jozef Zurada

Publisher

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Wiley-IEEE Press - 2005-03-08

ISBN-13

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