Data Mining

Data Mining: Theories, Algorithms, and Examples

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$119.95
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ISBN 9781439808382
Cat# K10414
 

Features

  • Covers data mining techniques from several fields
  • Reviews the mathematical and statistical concepts necessary to understanding data mining techniques
  • Focuses on concepts and methodologies rather than applications
  • Includes examples of data mining applications in cyber attack detection, discovery of neuronal population dynamics, and manufacturing quality control

Summary

Written for those with a science and engineering background, this book introduces and explains a comprehensive set of data mining techniques from various data mining fields. Concepts and methodologies are illustrated through numerous examples of data mining applications in cyber attack detection, discovery of neuronal population dynamics, and manufacturing quality control. Other topics include methodologies for mining classification and prediction patterns, mining clustering, and mining data reduction patterns and sequential and time series patterns.

Table of Contents

AN OVERVIEW OF DATA MINING METHODOLOGIES
Introduction to data mining methodologies

METHODOLOGIES FOR MINING CLASSIFICATION AND PREDICTION PATTERNS
Regression models
Bayes classifiers
Decision trees
Multi-layer feedforward artificial neural networks
Support vector machines
Supervised clustering

METHODOLOGIES FOR MINING CLUSTERING AND ASSOCIATION PATTERNS
Hierarchical clustering
Partitional clustering
Self-organized map
Probability distribution estimation
Association rules
Bayesian networks

METHODOLOGIES FOR MINING DATA REDUCTION PATTERNS
Principal components analysis
Multi-dimensional scaling
Latent variable analysis

METHODOLOGIES FOR MINING OUTLIER AND ANOMALY PATTERNS
Univariate control charts
Multivariate control charts

METHODOLOGIES FOR MINING SEQUENTIAL AND TIME SERIES PATTERNS
Autocorrelation based time series analysis
Hidden Markov models for sequential pattern mining
Wavelet analysis
Hilbert transform
Nonlinear time series analysis

Author Bio(s)

Nong Ye is Professor of Industrial Engineering at Arizona State University in Tempe.

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