Intelligent data analysis developing new methodologies through pattern discovery and recovery /

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 b...

Full description

Bibliographic Details
Corporate Author: IGI Global.
Other Authors: Wang, Hsiao-Fan.
Format: Electronic
Language:English
Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2009.
Subjects:
Online Access:View fulltext via EzAccess
LEADER 04988nam a2200673 a 4500
001 29663
003 IGIG
005 20100703174247.0
006 m e d
007 cr bn||||m|||a
008 100626s2009 paua fsb 001 0 eng d
010 # # |z 2007046947 
020 # # |z 9781599049830 (e-book) 
020 # # |z 1599049821 (hardcover) 
020 # # |z 9781599049823 (hardcover) 
020 # # |z 9781616926052 (pbk.) 
024 7 # |a 10.4018/978-1-59904-982-3  |2 doi 
035 # # |a (CaBNVSL)gtp00541470 
035 # # |a (OCoLC)430970950 
040 # # |a CaBNVSL  |c CaBNVSL  |d CaBNVSL 
050 # 4 |a Q327  |b .I545 2009e 
082 0 4 |a 003/.52  |2 22 
245 0 0 |a Intelligent data analysis  |b developing new methodologies through pattern discovery and recovery /  |c [edited by] Hsiao-Fan Wang.  |h [electronic resource] : 
260 # # |a Hershey, Pa. :  |b IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),  |c c2009. 
300 # # |a electronic texts (xx, 344 p. : ill.) :  |b digital files. 
504 # # |a Includes bibliographical references (p. 309-334) and index. 
505 0 # |a 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 -- 
505 0 # |a 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. 
506 # # |a Restricted to subscribers or individual electronic text purchasers. 
520 3 # |a 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. 
530 # # |a Also available in print. 
538 # # |a Mode of access: World Wide Web. 
588 # # |a Title from PDF t.p. (viewed on Jun 26, 2010). 
650 # 0 |a Pattern perception  |x Data processing. 
650 # 0 |a Artificial intelligence. 
653 # # |a Intelligent data analysis 
653 # # |a Fuzzy sets 
653 # # |a Gene expression data 
653 # # |a Pattern discovery 
653 # # |a Blackbox algorithms 
653 # # |a TREENET 
653 # # |a Ecological data 
653 # # |a Golden eagle satellite data 
653 # # |a Atanassov's Intuitionistic Fuzzy Sets 
653 # # |a Fuzzy neural network models 
653 # # |a Knowledge discovery 
653 # # |a Genetic learning 
653 # # |a Evolutionary computing 
653 # # |a Light scattering 
653 # # |a Particle identification 
653 # # |a Telecom industry 
653 # # |a Cumulative prospect theory 
653 # # |a Virtual sampling 
653 # # |a Data construction analysis 
700 1 # |a Wang, Hsiao-Fan. 
710 2 # |a IGI Global. 
776 0 # |c (Original)  |w (DLC) 2007046947  |z 9781599049823  |z 1599049821 
856 4 0 |u https://ezaccess.library.uitm.edu.my/login?url=http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-59904-982-3  |z View fulltext via EzAccess