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Intelligent Data Analysis

General Information
Type.................: Ebook
Part Size............: 6,529,173 bytes
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Posted by............: ~tqw~

Release Notes
Pattern Recognition has a long history of applications to data analysis in
business, military and social economic activities. While the aim of pattern
recognition is to discover the pattern of a data set, the size of the data set
is closely related to the methodology one adopts for analysis.

Intelligent Data Analysis: Developing New Methodologies Through Pattern
Discovery and Recovery tackles those data sets and covers a variety of issues in
relation to intelligent data analysis so that patterns from frequent or rare
events in spatial or temporal spaces can be revealed. This book brings together
current research, results, problems, and applications from both theoretical and
practical approaches.

Table Of Contents

Section I: Introduction
Chapter I: Automatic Intelligent Data Analysis
Chapter II: Random Fuzzy Sets: Theory & Applications
Chapter III: Pattern Discovery in Gene Expression Data
Chapter IV: Using ‘Blackbox’ Algorithms Such AS TREENET and RANDOM FORESTS for
Data-Ming and For Finding Meaningful Patterns, Relationships and Outliers in
Complex Ecological Data: An Overview, An Example Using Golden Eagle Satellite
Data and An Outlook For A Promising Future
Chapter V: A New Approach to Classification of Imbalanced Classes via
Atanassov’s Intuitionistic Fuzzy Sets
Section II: Pattern Discovery from Huge Data Set – Methodologies
Chapter VI: Fuzzy Neural Network Models for Knowledge Discovery
Chapter VII: Genetic Learning: Initialization and Representation Issues
Chapter VIII: Evolutionary Computing
Chapter IX: Particle Identification Using Light Scattering: A Global
Optimization Problem
Chapter X: Exact Markov Chain Monte Carlo Algorithms and Their Applications in
Probabilistic Data Analysis and Inference
Section III: Pattern Discovery from Huge Data Set – Applications
Chapter XI: Design and Development of Knowledge Bases for Forward and Reverse
Mappings of TIG Welding Process
Chapter XII: A Fuzzy Decision Tree Analysis of Traffic Fatalities in the US
Chapter XIII: New Churn Prediction Strategies in Telecom Industry
Chapter XIV: Intelligent Classification and Ranking Analyses Using CARBS: Bank
Rating Applications
Chapter XV: Analysis of Individual Risk Attitude for Risk Management Based on
Cumulative Prospect Theory
Section IV: Pattern Recovery from Small Data Set – Methodologies and
Chapter XVI: Neural Networks and BOOTSTRAP Methods for Regression Models with
Dependent Errors
Chapter XVII: Financial Crisis Modeling and Prediction with a Hilbert-EMD-based
SVM Approach
Chapter XVIII: Virtual Sampling with Data Construction Analysis

Product Details

* ISBN: 1599049821
* ISBN-13: 9781599049823
* Format: Hardcover, 372pp
* Publisher: IGI Global
* Pub. Date: May 2008

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