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Cluster Analysis for Data Mining and System Identification-[1]-[2007]-[pdf]-[János Abonyi, Balázs Feil]

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书籍信息:
书名: Cluster Analysis for Data Mining and System Identification
语言: English
格式: pdf
大小: 6.5M
页数: 319
年份: 2007
作者: János Abonyi, Balázs Feil
版次: 1
出版社: Birkhäuser

简介

This book presents new approaches to data mining and system identification. Algorithms that can be used for the clustering of data have been overviewed. New techniques and tools are presented for the clustering, classification, regression and visualization of complex datasets. Special attention is given to the analysis of historical process data, tailored algorithms are presented for the data driven modeling of dynamical systems, determining the model order of nonlinear input-output black box models, and the segmentation of multivariate time-series. The main methods and techniques are illustrated through several simulated and real-world applications from data mining and process engineering practice.
  The books is aimed primarily at practitioners, researches, and professionals in statistics, data mining, business intelligence, and systems engineering, but it is also accessible to graduate and undergraduate students in applied mathematics, computer science, electrical and process engineering. Familiarity with the basics of system identification and fuzzy systems is helpful but not required.

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    thanks for your sharing
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