Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, and Medicine

Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, and Medicine

Shawkat Ali (Central Queensland University, Melbourne, Australia), Noureddine Abbadeni (King Saud University, Saudi Arabia) and Mohamed Batouche (University of Constantine, Algeria)
Indexed In: SCOPUS View 1 More Indices
Release Date: June, 2012|Copyright: © 2012 |Pages: 365|DOI: 10.4018/978-1-4666-1830-5
ISBN13: 9781466618305|ISBN10: 1466618302|EISBN13: 9781466618312
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Description

The amount of digital data available in the world doubles almost every year. Managed well, this data can be used to extract new sources of knowledge for daily business use.

Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, and Medicine explores the complex world of computational intelligence, which utilizes computational methodologies such as fuzzy logic systems, neural networks, and evolutionary computation for the purpose of managing and using data effectively and addressing complicated real-world problems. This publication brings together various segments of computational intelligence and its applications in the worlds of business, engineering, and medicine.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Bioinformatics applications
  • Cloud Computing
  • Customer Relationship Management
  • Fraud Detection
  • Gene sequences identification
  • Green computing
  • Homeland security applications
  • Industry automation
  • Procurement and supply chain optimization
  • Web Applications

Reviews and Testimonials

The book is suitable to any one who needs an informative introduction to the current development, basic methodology, and advanced techniques of Computational Intelligence. It serves as a handbook for researchers, practitioners, and technologists. The text is appropriate for senior undergraduates and postgraduates students in Computational Intelligence. It facilitates discussion and idea sharing. It helps researchers exchange their views on experimental design and the future challenges on such discovery techniques.

– A B M Shawkat Ali, CQUniversity, Australia; Noureddine Abbadeni, King Saud University, Saudi Arabia; and Mohamed Batouche, University of Constantine, Algeria

Table of Contents and List of Contributors

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Preface

The amount of digital data is becoming almost double in every year.  Managed well, the data can be used to extract new sources of knowledge for our daily business. How? The straightway solution is Computational Intelligence. During the last few years, there have been growing interests in developing and applying Computational Intelligence techniques to solve in many real world complex problems. However, these techniques are facing many challenges. This book presents a number of diverse methods and applications of Computational Intelligence techniques in the fields of business, engineering and medicine.

Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, and Medicine provides researchers, practitioners, students, and technologists with current trends of intelligent techniques. It will help researchers to exchange and share their views on the latest developments in the field. This book will also help those who are from outside the computer science discipline (from business, medicine, and engineering for instance) to understand how and what intelligent techniques can be used in their own areas. Researchers, instructors, designers of information systems, users of these systems, and graduate students will also benefit from this book where they can find the fundamental knowledge as well as a set of potential applications.

Many Computational Intelligence books focus on theories or narrow specific application areas. The motivation for this book is to provide a mix of theory and applications to the readers in order to show the practical value of computational intelligence techniques. In this regard, this book is a special contribution in the Computational Intelligence field. The contributors feel the book to be an unique publication that systematically presents a cohesive view of all the important aspects of modern Computational Intelligence. The scholarly value of this book and its contributions to the literature in the information technology discipline are that:

  • It increases the understanding of modern Computational Intelligence methodology and techniques. 
  • It identifies the recent key challenges which are faced by Computational Intelligence users in business, engineering, and medicine.
  • It helps the new comers to the Computational Intelligence field understand the essence of computational intelligence.
  • It describes the most recent applications on Computational Intelligence techniques across business, engineering, and medicine.

The book is suitable to any one who needs an informative introduction to the current development, basic methodology, and advanced techniques of Computational Intelligence. It serves as a handbook for researchers, practitioners, and technologists. The text is appropriate for senior undergraduates and postgraduates students in Computational Intelligence. It facilitates discussion and idea sharing. It helps researchers exchange their views on experimental design and the future challenges on such discovery techniques. 

A B M Shawkat Ali
CQUniversity, Australia
Noureddine Abbadeni
King Saud University, Saudi Arabia
Mohamed Batouche
University of Constantine, Algeria

Author(s)/Editor(s) Biography

Shawkat Ali is currently with School of Information and Communication Technology, CQUniversity, Australia. He received his PhD in Information Technology from Clayton School of Information Technology, Monash University. His research interests include computational intelligence, data mining, smart grid, cloud computing, and biomedical engineering. In particular, he is currently leading in a research group on computational intelligence. He has published more than 85 research papers in international journals and conferences, most of them are IEEE/ELSEVIER journals/conferences, such as IEEE Transactions on Intelligent Transportation Systems, Future Generation Computer Systems, ELSEVIER, WSEAS Transactions on Information Science and Applications, Journal of Medical Systems, Springer, and Renewable Energy, ELSEVIER. He has also published several book chapters and books. His Data Mining book is being used as text in more than two dozen universities around the globe. Dr. Ali has chaired many conferences including DMAI, NSS, ICDKE, and ISDA. He has been a program committee member for about 40 international conferences such as IEEE TrustCom, IEEE ICCIT, IEEE/ACIS, IEEE ICARCV, and IEEE AINA. Currently he is the Editor-in-Chief for International Journal of Emerging Technologies in Sciences and Engineering (IJETSE), Canada. He is an IEEE Senior Member. Dr. Ali has received a couple of awards including the Post Graduation Publication Award, Monash University, 2004, the Excellence in Supervision Award, CQUniversity, 2007 and the Top 10 Course Designers, CQUniversity, 2010.
Noureddine Abbadeni is currently Associate Professor of Computer Science and vice-chair of the Software Engineering department at the College of Computer and Information Sciences at King Saud University. He received the B.Eng. degree in Computer Science (Software Engineering) from USTHB-Algiers-Algeria, the M.Sc. degree in Computer Science and the M.Sc degree in Computational Linguistics, both from University of Grenoble-France, the DESS degree in Management from HEC Montreal-Canada, and the PhD degree in Computer Science from University of Sherbrooke-Canada. Dr. Abbadeni has an experience of more than 14 years in both academia and IT industry in Canada, USA, UAE, and KSA. Dr. Abbadeni conducted research projects for several years and has several papers published in international refereed conferences and journals such as IEEE Trans. on IP, Elsevier’s JVCIR, IEEE ICME, IEEE ICIP, etc. His research fields include multimedia computing, information retrieval, data mining, and pattern recognition & image processing.
Mohamed Batouche is currently full Professor of Computer Science at University of Constantine, Algeria. He was full Professor in the College of Computer and Information Sciences at King Saud University, Saudi Arabia between 2007 and 2011. He holds a Ph.D. in Computer Science from University of Nancy - INPL, France. He published over 150 refereed journal and conference papers in the areas of complex systems, nature inspired computing, bioinformatics, image processing, machine learning, and telecommunication.

Indices

Editorial Board

  • El-Ghazali Talbi, University of Lille 1, France & INRIA, France
  • Ramamohanarao Kotagiri, The University of Melbourne, Australia
  • Reda Alhajj, University of Calgary, Canada
  • Daniel Lemire, LICEF Research Center, Université du Québec à Montréal (UQAM), Canada
  • Boris Kovalerchuk, Central Washington University, USA
  • Malek Mouhoub, University of Regina, Canada