Data Mining Using Neural Networks: A Guide for Statisticians

Basilio de Braganca Pereira, Calyampudi Radhakrishna Rao, Marepelli Rao

June 26, 2016 Forthcoming by Chapman and Hall/CRC
Reference - 300 Pages - 50 B/W Illustrations
ISBN 9781439875322 - CAT# K13495
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

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Features

  • Offers a concise guide to using neural networks in data mining
  • Adopts an easy-to-understand approach accessible to statisticians
  • Compares how neural network models and statistical models are used to tackle data analyses
  • Points out some additional classical and Bayesian statistical inference results
  • Uses the R programming language to illustrate the techniques

Summary

A concise, easy-to-understand guide to using neural networks in data mining for mathematics, engineering, psychology, and computer science applications, this book compares how neural network models and statistical models are used to tackle data analysis problems. It focuses on the top of the hierarchy of the computational process and shows how neural networks can perform traditional statistical methods of analysis. The book includes some classical and Bayesian statistical inference results and employs R to illustrate the techniques.