Autore: Michael W. Berry

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Professor Michael W. Berry is a Full Professor in the Departments of Electrical Engineering and Computer Science (EECS) and Mathematics at the University of Tennessee, Knoxville. He served as Interim Department Head of Computer Science from January 2004 to June 2007, and as Associate Head in the Department of Electrical Engineering and Computer Science from July 2007 to July 2012. He worked in the Communications Product Division of IBM in Raleigh, NC for about 1 year before accepting a research staff position in the Center for Supercomputing Research and Development at the University of Illinois at Urbana-Champaign. In 1990, he received a Ph D in Computer Science from the University of Illinois at Urbana-Champaign. Prof. Berry is the co-author of “Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods” (SIAM, 1994) and “Understanding Search Engines: Mathematical Modeling and Text Retrieval, Second Edition” (Bestseller, SIAM, 2005) and editor of “Computational Information Retrieval” (SIAM, 2001), “Survey of Text Mining: Clustering, Classification, and Retrieval” (Springer-Verlag, 2003, 2007), “Lecture Notes in Data Mining” (Bestseller, World Scientific, 2006), “Text Mining: Applications and Theory” (Wiley, 2010), and “High-Performance Scientific Computing” (Springer, 2012). He has published well over 150 peer-refereed journal and conference publications and book chapters. He has organized numerous workshops on Text Mining and was Conference Co-Chair of the 2003 SIAM Third International Conference on Data Mining (May 1-3) in San Francisco, CA. He was Program Co-Chair of the 2004 SIAM Fourth International Conference on Data Mining (April 22-24) in Orlando, FL., and he was a keynote speaker at the 2015 International  Conference on Soft Computing in Data Science (SCDS2015). He was also honorary chair of the 2016 International Conference on Soft Computing in Data Science (SCDS2016) in Kuala Lumpur, Malaysia. His research interests include information retrieval, data and text mining, computational science, bioinformatics, and parallel computing. Prof. Berry”s research has been supported by grants and contracts from organizations such as the National Science Foundation, National Institutes of Health, the U.S. Department of Energy, the the National Aeronautics and Space Administration, and the Intel Corporation.   Professor Dr Azlinah Mohamed is a Professor at the Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Malaysia. She currently serves as the Dean of the faculty; she was previously the Special Officer to the Vice Chancellor and Head of the Academic Affairs and Development Unit of Universiti Teknologi MARA. She received her MSc (Artificial Intelligence) from University of Bristol, UK and Ph D (Decision Support Systems) from Universiti Kebangsaan Malaysia. Her recent research activities and numerous professional publications in international conferences and local journals focus on her interests in the Artificial Intelligence, Decision Support Systems and Soft Computing. She has published well over 180 peer-refereed journal and conference publications and book chapters. She was the Honorary Chair of the 2015, 2016 and 2017 International Conference on Soft Computing in Data Science, and she was a keynote speaker at the 2016 International Conference on Soft Computing in Data Science (SCDS2016). She was also awarded with many competitive grants from Science Fund, MOSTI and others on both academic and industrial projects for the industry, as well as for the government. Her research works includes the Information Professionals’ Competency Assessment Model and the Multi-Parametric Pectin Lyase-Like Protein Function Classifier which had won many awards. She is also an active member of the Malaysia Information Technology Society (MITS), Lembaga Akredetasi Negara, Malaysia and Artificial Intelligence Society.   Professor Bee Wah Yap is a Professor at the Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Malaysia. She is the Head of Advanced Analytics Engineering Centre (AAEC), a Centre of Excellence in FSKM. She received her Bachelor of Science (Education)(Hons) degree, majoring in Mathematics from University of Science Malaysia, Master of Statistics from University of California Riverside and Ph D (Statistics) from University of Malaya. Her research interests are in data mining, computational statistics and multivariate data analysis. She actively organizes SCDS2015, SCDS2016 and SCDS2017 conference which focus on Soft Computing in Data Science. She also actively conduct statistical workshops (IBM SPSS STATISTICS, IBM SPSS AMOS, PLS-SEM, SAS EMINER). She has published papers in ISI journals such as Expert Systems with Applications, Journal of Statistical Computation and Simulation, Communication in Statistics-Simulation and Computation, and also in Scopus indexed journals. She is also an active reviewer for international journals such as International Journal of Bank Marketing and Communication in Statistics-Simulation and Computation and Neurocomputing.




14 Ebook di Michael W. Berry

Michael W. Berry & Kyle A. Gallivan: High-Performance Scientific Computing
This book presents the state of the art in parallel numerical algorithms, applications, architectures, and system software. The book examines various solutions for issues of concurrency, scale, energ …
PDF
Inglese
€96.29
Michael W. Berry & Malu Castellanos: Survey of Text Mining II
As we enter the third decade of the World Wide Web (WWW), the textual revolution has seen a tremendous change in the availability of online information. Finding inf- mation for just about any need ha …
PDF
Inglese
€53.49
Michael W. Berry & Azlinah Mohamed: Supervised and Unsupervised Learning for Data Science
This book covers the state of the art in learning algorithms with an inclusion of semi-supervised methods to provide a broad scope of clustering and classification solutions for big data applications …
PDF
Inglese
€96.29
Michael W. Berry: Survey of Text Mining
Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be bas …
PDF
Inglese
DRM
€115.37
Michael W. Berry & Azlinah Hj. Mohamed: Soft Computing in Data Science
This book constitutes the refereed proceedings of the International Conference on Soft Computing in Data Science, SCDS 2016, held in Putrajaya, Malaysia, in September 2016. The 27 revised full papers …
PDF
Inglese
DRM
€57.88
Michael W. Berry & Azlinah Mohamed: Soft Computing in Data Science
This book constitutes the refereed proceedings of the International Conference on Soft Computing in Data Science, SCDS 2017, held in Yogyakarta, Indonesia, November 27-28, 2017.The 26 revised full pa …
EPUB
Inglese
DRM
€57.82
Michael W. Berry & Azlinah Hj Mohamed: Soft Computing in Data Science
This book constitutes the refereed proceedings of the 4th International Conference on Soft Computing in Data Science, SCDS 2018, held in Bangkok, Thailand, in August 2018.The 30 revised full papers p …
EPUB
Inglese
DRM
€58.04
Michael W. Berry & Azlinah Mohamed: Soft Computing in Data Science
This book constitutes the refereed proceedings of the International Conference on Soft Computing in Data Science, SCDS 2015, held in Putrajaya, Malaysia, in September 2015.The 25 revised full papers …
PDF
Inglese
DRM
€57.90
Michael W Berry & Jacob Kogan: Text Mining
Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientifi …
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Inglese
DRM
€80.99
Michael W Berry & Murray Browne: Lecture Notes In Data Mining
The continual explosion of information technology and the need for better data collection and management methods has made data mining an even more relevant topic of study. Books on data mining tend t …
PDF
Inglese
DRM
€179.99
Michael W. Berry & Mario Koppen: Soft Computing in Data Science
This book constitutes the refereed proceedings of the 5th International Conference on Soft Computing in Data Science, SCDS 2019, held in Iizuka, Japan, in August 2019. The 30 revised full papers pres …
EPUB
Inglese
DRM
€57.64
Michael W. Berry & Azlinah Mohamed: Soft Computing in Data Science
This book constitutes the refereed proceedings of the 6th International Conference on Soft Computing in Data Science, SCDS 2021, which was held virtually in November 2021. The 31 revised full papers …
EPUB
Inglese
DRM
€102.53
Yap Bee Wah & Michael W. Berry: Data Science and Emerging Technologies
The book presents selected papers from International Conference on Data Science and Emerging Technologies (Da SET 2022), held online at UNITAR International University, Malaysia, during December 20–2 …
PDF
Inglese
€234.33
Yap Bee Wah & Dhiya Al-Jumeily OBE: Data Science and Emerging Technologies
The book presents selected papers from International Conference on Data Science and Emerging Technologies (Da SET 2023), held online at UNITAR International University, Malaysia during December 4–5, …
PDF
Inglese
€234.33