基本信息
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职业迁徙
个人简介
Areas of Expertise
Application of modern techniques in computer science to the solution of large scale practical problems; data mining.
Professor Rayward-Smith moved to UEA some thirty years ago, and is a Fellow of the BCS, of the OR Society and of the IMA, a Chartered Engineer and a Chartered Mathematician. He is the editor-in-chief of the Journal of Mathematical Modelling and Algorithms (JMMA) published by Springer.
Key Responsibilities
Director of Data Mining, Machine Learning and Statistics Laboratory
Member of Science Executive
Member of Senate
Member of University Disciplinary Committee
Key Research Interests
Vic Rayward-Smith is part of the Data Mining, Machine Learning and Statistics Laboratory
He comes from a mathematical background and has always enjoyed the more theoretical aspects of computing. However, his research is focussed on developing new models and algorithmic approaches for solving important practical problems. He has mostly been concerned with the application of new techniques to the solution of problems in scheduling and in machine learning. Most recently, he has been addressing problems arising from clustering, from aggregated data and from unreliable data as well as undertaking several medical data mining projects.
Application of modern techniques in computer science to the solution of large scale practical problems; data mining.
Professor Rayward-Smith moved to UEA some thirty years ago, and is a Fellow of the BCS, of the OR Society and of the IMA, a Chartered Engineer and a Chartered Mathematician. He is the editor-in-chief of the Journal of Mathematical Modelling and Algorithms (JMMA) published by Springer.
Key Responsibilities
Director of Data Mining, Machine Learning and Statistics Laboratory
Member of Science Executive
Member of Senate
Member of University Disciplinary Committee
Key Research Interests
Vic Rayward-Smith is part of the Data Mining, Machine Learning and Statistics Laboratory
He comes from a mathematical background and has always enjoyed the more theoretical aspects of computing. However, his research is focussed on developing new models and algorithmic approaches for solving important practical problems. He has mostly been concerned with the application of new techniques to the solution of problems in scheduling and in machine learning. Most recently, he has been addressing problems arising from clustering, from aggregated data and from unreliable data as well as undertaking several medical data mining projects.
研究兴趣
论文共 30 篇作者统计合作学者相似作者
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Statistical Analysis and Data Miningno. 3 (2014): 175-193
Journal of Mathematical Modelling and Algorithmsno. 1 (2012): 1-2
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning (2012)
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Intelligent Data Engineering and Automated Learning -- IDEAL 2011: 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings ... Applications, incl. Internet/Web, and HCI) (2011)
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Computers & Operations Researchno. 10 (2008): 3298-3310
Computational Statistics & Data Analysisno. 8 (2007): 3968-3982
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