Next Generation of Data-Mining Applications

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:Next Generation of Data-Mining Applications
Author: Mehmed Kantardzic, Jozef Zurada
Publisher:Wiley-IEEE Press - 2005-03-08
ISBN-13:

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