Intelligent Data Analysis~tqw~ darksiderg

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  Intelligent Data Analysis~tqw~ darksiderg
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• Size:
  6.2 MB
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• Added:
  09/05/2008
• Last check:
  2009-06-09 13:52:04
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  *******************************************************************************<br /> Intelligent Data Analysis<br /> *******************************************************************************<br /> <br /> -------------------------------------------------------------------------------<br /> General Information<br /> -------------------------------------------------------------------------------<br /> Type.................: Ebook<br /> Part Size............: 6,529,173 bytes<br /> [img]http://images.barnesandnoble.com/images/30180000/30185484.jpg[/img]<br /> -------------------------------------------------------------------------------<br /> Post Information<br /> -------------------------------------------------------------------------------<br /> Posted by............: ~tqw~<br /> <br /> -------------------------------------------------------------------------------<br /> Release Notes<br /> -------------------------------------------------------------------------------<br /> Pattern Recognition has a long history of applications to data analysis in <br /> business, military and social economic activities. While the aim of pattern <br /> recognition is to discover the pattern of a data set, the size of the data set <br /> is closely related to the methodology one adopts for analysis.<br /> <br /> Intelligent Data Analysis: Developing New Methodologies Through Pattern <br /> Discovery and Recovery tackles those data sets and covers a variety of issues in <br /> relation to intelligent data analysis so that patterns from frequent or rare <br /> events in spatial or temporal spaces can be revealed. This book brings together <br /> current research, results, problems, and applications from both theoretical and <br /> practical approaches.<br /> <br /> Table Of Contents<br /> <br /> Section I: Introduction<br /> Chapter I: Automatic Intelligent Data Analysis<br /> Chapter II: Random Fuzzy Sets: Theory &amp; Applications<br /> Chapter III: Pattern Discovery in Gene Expression Data<br /> Chapter IV: Using &lsquo;Blackbox&rsquo; Algorithms Such AS TREENET and RANDOM FORESTS for <br /> Data-Ming and For Finding Meaningful Patterns, Relationships and Outliers in <br /> Complex Ecological Data: An Overview, An Example Using Golden Eagle Satellite <br /> Data and An Outlook For A Promising Future<br /> Chapter V: A New Approach to Classification of Imbalanced Classes via <br /> Atanassov&rsquo;s Intuitionistic Fuzzy Sets<br /> Section II: Pattern Discovery from Huge Data Set &ndash; Methodologies<br /> Chapter VI: Fuzzy Neural Network Models for Knowledge Discovery<br /> Chapter VII: Genetic Learning: Initialization and Representation Issues<br /> Chapter VIII: Evolutionary Computing <br /> Chapter IX: Particle Identification Using Light Scattering: A Global <br /> Optimization Problem<br /> Chapter X: Exact Markov Chain Monte Carlo Algorithms and Their Applications in <br /> Probabilistic Data Analysis and Inference<br /> Section III: Pattern Discovery from Huge Data Set &ndash; Applications<br /> Chapter XI: Design and Development of Knowledge Bases for Forward and Reverse <br /> Mappings of TIG Welding Process<br /> Chapter XII: A Fuzzy Decision Tree Analysis of Traffic Fatalities in the US<br /> Chapter XIII: New Churn Prediction Strategies in Telecom Industry<br /> Chapter XIV: Intelligent Classification and Ranking Analyses Using CARBS: Bank <br /> Rating Applications<br /> Chapter XV: Analysis of Individual Risk Attitude for Risk Management Based on <br /> Cumulative Prospect Theory<br /> Section IV: Pattern Recovery from Small Data Set &ndash; Methodologies and <br /> Applications<br /> Chapter XVI: Neural Networks and BOOTSTRAP Methods for Regression Models with <br /> Dependent Errors <br /> Chapter XVII: Financial Crisis Modeling and Prediction with a Hilbert-EMD-based <br /> SVM Approach<br /> Chapter XVIII: Virtual Sampling with Data Construction Analysis<br /> <br /> Product Details<br /> <br /> * ISBN: 1599049821<br /> * ISBN-13: 9781599049823<br /> * Format: Hardcover, 372pp<br /> * Publisher: IGI Global<br /> * Pub. Date: May 2008<br /> <br /> -------------------------------------------------------------------------------<br /> Install Notes<br /> -------------------------------------------------------------------------------<br /> PDF Reader
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