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Intelligent data analysis developing new methodologies through pattern discovery and recovery
Title:
Intelligent data analysis developing new methodologies through pattern discovery and recovery
Author:
Wang, Hsiao-Fan.
Publication Information:
Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2009.
Physical Description:
electronic texts (xx, 344 p. : ill.) : digital files.
Contents:
I. Automatic intelligent data analysis / Martin Spott, Detlef Nauck -- II. Random fuzzy sets / Hung Nguyen, Vladik Kreinovich, Gang Xiang -- III. Pattern discovery in gene expression data / Gráinne Kerr, Heather Ruskin, Martin Crane -- 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 / Erica Craig, Falk Huettmann -- V. A new approach to classification of imbalanced classes via Atanassov's intuitionistic fuzzy sets / Eulalia Szmidt, Marta Kukier -- VI. Fuzzy neural network models for knowledge discovery / Arun Kulkarni, Sara McCaslin -- VII. Genetic learning / Ivan Bruha -- VIII. Evolutionary computing / Thomas Potok, Xiaohui Cui, Yu Jiao -- IX. Particle identification using light scattering / M. Bartholomew-Biggs, Z. Ulanowski, S. Zakovic -- X. Exact markov chain Monte Carlo algorithms and their applications in probabilistic data analysis and inference / Dominic Lee -- XI. Design and development of knowledge bases for forward and reverse mappings of TIG welding process / J. Ganjigatti, Dilip Pratihar -- XII. A fuzzy decision tree analysis of traffic fatalities in the US / Malcolm Beynon -- XIII. New churn prediction strategies in the telecom industry / Dymitr Ruta, Christoph Adl, Detlef Nauck -- XIV. Intelligent classification and ranking analyses using CaRBS / Malcolm Beynon --

XV. Analysis of individual risk attitude for risk management based on cumulative prospect theory / Fei-Chen Hsu, Hsiao-Fan Wang -- XVI. Neural networks and bootstrap methods for regression models with dependent errors / Francesco Giordano, Michele La Rocca, Cira Perna -- XVII. Financial crisis modeling and prediction with a Hilbert-EMD-based SVM approach / Lean Yu, Shouyang Wang, Kin Lai -- XVIII. Virtual sampling with data construction analysis / Chun-Jung Huang, Hsiao-Fan Wang, Shouyang Wang.
Abstract:
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. This book 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.
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