Proceedings of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017): Transcending Boundaries, Embracing Multidisciplinary Diversities
Editat de Liew-Kee Kor, Abd-Razak Ahmad, Zanariah Idrus, Kamarul Ariffin Mansoren Limba Engleză Hardback – 28 mar 2019
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Specificații
ISBN-13: 9789811372780
ISBN-10: 9811372780
Pagini: 595
Ilustrații: XX, 595 p. 118 illus., 83 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.03 kg
Ediția:1st ed. 2019
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore
ISBN-10: 9811372780
Pagini: 595
Ilustrații: XX, 595 p. 118 illus., 83 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.03 kg
Ediția:1st ed. 2019
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore
Notă biografică
Associate Professor Dr Liew-Kee Kor is a PhD graduate in Mathematics education. Her PhD project on the use of graphics calculator had won an award in the USM Graduate Research Exposition 2004. Since then, she has been actively researching and publishing articles on technology in mathematics education. She has presented papers at national and international conferences and has written journal articles pertaining to the use of educational technology in the teaching of mathematics. She is also actively involved in reviewing papers for journals and conferences. She has co-authored papers published in The Encyclopedia of the Science of Learning, Cases of Mathematics Professional Development in East Asian Countries, and the ZDM Mathematics Education. She was also a regional editor and contributing author in B. Sriraman (Ed.) The first Sourcebook on Asia Research in Mathematics Education: China, Korea, Singapore, Japan, Malaysia, and India. She has contributed a book chapter in the Student-Driven Learning Strategies for the 21st Century Classroom published by the IGI Global. She is also one of the Editors in the Proceedings of The 2nd International Conference on Computing, Mathematics and Statistics (iCMS2015) – Bridging Research Endeavor in Computing, Mathematics and Statistics, published by Springer.
Abd-Razak Ahmad is an Associate Professor at Universiti Teknologi MARA. He obtained his PhD in Corporate Failure Modeling from Leeds University, United Kingdom. He received his bachelor’s degree in Economics/Mathematics from Macalester College and a master’s degree in Mathematics from Eastern Michigan University, both in the United States. His main research interest is on credit risk and financial modeling and his current works involve building separate credit risk models for Malaysian public firms using Black-Scholes-Merton based model and building Partial Least Square based bankruptcy models for small and medium enterprises. Using analytic hierarchy process, he works on ethics based corporate social responsibility efficiency and performance models for Islamic financial institutions which include Islamic banks. He is also working on the performance efficiency of Takaful firms using data enveloping analysis. He is also one of the Editors in the Proceedings of the 2nd International Conference on Computing, Mathematics and Statistics (iCMS2015) – Bridging Research Endeavor in Computing, Mathematics and Statistics, published by Springer.
Illiasaak Ahmad is currently the Head Computer Science Department, Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Cawangan Kedah. He received his Bachelor of Science (Hons.) degree in Information Technology from Universiti Teknologi MARA and Master of Engineering (Computer Engineering) degree from Universiti Teknologi Malaysia (UTM). In 2015, he received a Fellowship Award to attend International Conference on Internet Application, Protocols and Services (NETAPP 2015) organized by Universiti Utara Malaysia (UUM). He has more than eight years working experience in Information Communication Technology (ICT) related industries, prior joining UiTM Cawangan Kedah. He has published papers in indexed journals and conference proceedings. He is one of the editors for The Proceedings of the 2nd International Conference on Computing, Mathematics and Statistics (iCMS2015) – Bridging Research Endeavor in Computing, Mathematics and Statistics, published by Springer. His current research interests include Computer Technology and Networking, High-Performance and Distributed Computing. He is a professional member of Association for Computing Machinery (ACM).
Kamarul Ariffin Mansor is currently a lecturer in the Department of Mathematical Sciences, Faculty of Computers and Mathematical Sciences, UiTM Kedah Branch Campus. He has been with UiTM Kedah since 2002. He holds a Master of Science degree in Decision Science from Universiti Utara Malaysia (UUM) and a Bachelor of Science degree in Mathematics with a minor in Economics from University of Kentucky, USA. He is also a member of the Editorial Team Reviewer Board for Independent Journal of Management & Production (IJM&P) and Austrian Statistical Journal (AJS). In addition, The Romanian Foundation of Business Intelligence (FRIA) has also recognize Mr Kamarul Ariffin Mansor as SEA – Practical Application of Science Member starting 1st September 2016. Mr Kamarul Ariffin Mansor specialization and interest is in statistical and decision making analysis. However, his main research area is in Structural Equation Modeling (SEM).He is actively involved in consultancy work and instructor for training workshop, especially in statistical analysis using statistical software such as IBM SPSS Statistics, AMOS, SmartPLS and R.
Textul de pe ultima copertă
This book is a product of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017) to be held in Langkawi in November 2017. It is divided into four sections according to the thrust areas: Computer Science, Mathematics, Statistics, and Multidisciplinary Applications. All sections sought to confront current issues that society faces today. The book brings collectively quantitative, as well as qualitative, research methods that are also suitable for future research undertakings. Researchers in Computer Science, Mathematics and Statistics can use this book as a sourcebook to enrich their research works.
Caracteristici
A power house for readers to learn the state of the art research and the latest achievements reached by researchers in different areas Challenges ideas and procedures while building upon the virtues of current knowledge Papers are grouped into tracks for easy reference