Computational intelligence for missing data imputation, estimation and management knowledge optimization techniques /

This book focuses on methods to estimate missing values given to observed data. Providing a defining body of research valuable to those involved in the field of study, this book presents current and new computational intelligence techniques that allow computers to learn the underlying structure of d...

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Bibliographic Details
Main Author: Marwala, Tshilidzi, 1971-
Corporate Author: IGI Global.
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
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020 # # |z 1605663360 (hardcover) 
020 # # |z 9781605663364 (hardcover) 
020 # # |z 9781616925604 (softcover) 
024 7 # |a 10.4018/978-1-60566-336-4  |2 doi 
035 # # |a (CaBNVSL)gtp00541218 
035 # # |a (OCoLC)707615220 
040 # # |a CaBNVSL  |c CaBNVSL  |d CaBNVSL 
050 # 4 |a QA279.4  |b .M37 2009e 
082 0 4 |a 519.5/42  |2 22 
100 1 # |a Marwala, Tshilidzi,  |d 1971- 
245 1 0 |a Computational intelligence for missing data imputation, estimation and management  |b knowledge optimization techniques /  |c by Tshilidzi Marwala.  |h [electronic resource] : 
260 # # |a Hershey, Pa. :  |b IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),  |c c2009. 
300 # # |a electronic texts (xix, 306 p. : ill.) :  |b digital files. 
504 # # |a Includes bibliographical references (p. 250-255) and index. 
505 0 # |a Introduction to Missing Data -- Estimation of Missing Data Using Neural Networks and Genetic Algorithms -- A Hybrid Approach to Missing Data: Bayesian Neural Networks, Principal Component Analysis and Genetic Algorithms -- Maximum Expectation Algorithms for Missing Data Estimation -- Missing Data Estimation Using Rough Sets -- Support Vector Regression for Missing Data Estimation -- Committee of Networks for Estimating Missing Data -- Online Approaches to Missing Data Estimation -- Missing Data Approaches to Classification -- Optimization Methods for Estimation of Missing Data -- Estimation of Missing Data Using Neural Networks and Decision Trees -- Control of Biomedical System Using Missing Data Approaches -- Emerging Missing Data Estimation Problems: Heteroskedasticity; Dynamic Programming and Impact of Missing Data -- About the Author -- Index. 
506 # # |a Restricted to subscribers or individual electronic text purchasers. 
520 3 # |a This book focuses on methods to estimate missing values given to observed data. Providing a defining body of research valuable to those involved in the field of study, this book presents current and new computational intelligence techniques that allow computers to learn the underlying structure of data. 
530 # # |a Also available in print. 
538 # # |a Mode of access: World Wide Web. 
588 # # |a Title from PDF t.p. (viewed on June 19, 2010). 
650 # 0 |a Computational intelligence. 
650 # 0 |a Decision support systems. 
650 # 0 |a Missing observations (Statistics) 
650 # 0 |a Statistical decision  |x Data processing. 
653 # # |a Artificial neural networks 
653 # # |a Hybrid approach to missing data 
653 # # |a Introduction of missing data 
653 # # |a Maximum likelihood approach 
653 # # |a Missing data estimation approaches 
653 # # |a Missing data imputation 
653 # # |a Missing data patterns 
653 # # |a Missing data mechanism 
653 # # |a Missing data estimation method 
653 # # |a Missing data estimation methodology 
653 # # |a Optimization techniques 
710 2 # |a IGI Global. 
776 0 # |c (Original)  |w (DLC) 2008041549  |z 9781605663364  |z 1605663360 
856 4 0 |u https://ezaccess.library.uitm.edu.my/login?url=http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-60566-336-4  |z View fulltext via EzAccess