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Computational Intelligence for Missing Data Imputation, Estimation, and Management Tshilidzi Marwala

Computational Intelligence for Missing Data Imputation, Estimation, and Management By Tshilidzi Marwala

Computational Intelligence for Missing Data Imputation, Estimation, and Management by Tshilidzi Marwala


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Summary

The issue of missing data imputation has been extensively explored in information engineering. This book presents methods and technologies in estimation of missing values given the observed data. It covers techniques such as radial basis functions, support vector machines, and principal component analysis.

Computational Intelligence for Missing Data Imputation, Estimation, and Management Summary

Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques by Tshilidzi Marwala

In recent years, the issue of missing data imputation has been extensively explored in information engineering. Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques presents methods and technologies in estimation of missing values given the observed data. Providing a defining body of research valuable to those involved in the field of study, this book covers techniques such as radial basis functions, support vector machines, and principal component analysis.

About Tshilidzi Marwala

Tshilidzi Marwala holds a Chair of Systems Engineering at the School of Electrical and Information Engineering at the University of the Witwatersrand. He is the youngest recipient of the Order of Mapungubwe (whose other recipients are Nobel Prize Winners Sydney Brenner and J.M. Coetzee) and was awarded the President Award by the National Research Foundation. He holds a Bachelor of Science in Mechanical Engineering (Magna Cum Laude) from Case Western Reserve University, a Master of Engineering from the University of Pretoria, PhD in Engineering from University of Cambridge (St John's College) and attended a Program for Leadership Development at Harvard Business School. He was a post-doctoral research associate at the Imperial College of Science, Technology and Medicine and in year 2006 to 2007 was a visiting fellow at Harvard University. His research interests include theory and application of computational intelligence to engineering, computer science, finance, social science and medicine. He has published over 150 papers in journals, proceedings and book chapters and has supervised 30 master and PhD theses. His book Computational Intelligence for Modelling Complex Systems is published by Research India Publications. He is the Associate Editor of the International Journal of Systems Science. His work has appeared in publications such as the New Scientist and Time Magazine. He was a Chair of the Local Loop Unbundling Committee, is a Deputy Chair of the Limpopo Business Support Agency and has been on boards of EOH (Pty) Ltd, City Power (Pty) Ltd, State Information Technology Agency (Pty) Ltd, Statistics South Africa and the National Advisory Council on Innovation. He is a trustee of the Bradlow Foundation as well as the Carl and Emily Fuchs Foundation. He is a Senior Member of the IEEE and a member of the ACM.

Table of Contents

Artificial neural networks; Hybrid approach to missing data; Introduction of missing data; Maximum likelihood approach; Missing data estimation approaches; Missing data imputation; Missing data patterns; Missing data mechanism; Missing data estimation methodology; Optimization techniques.

Additional information

NPB9781605663364
9781605663364
1605663360
Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques by Tshilidzi Marwala
New
Hardback
IGI Global
2009-04-30
353
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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