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In a nutshell, we identify at least three reasons for the success of SVMs: their ability to learn well with only a very small number of free parameters, their robustness against... Læs mere
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The first part will review several basic concepts and methods related to collective view prediction, such as state-of-the-art recommender systems, sentimental... Læs mere
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We have developed various multilingual data mining, text mining, and web mining techniques to perform link analysis, content analysis, web metrics (technical sophistication) analysis, sentiment analysis, authorship analysis, and video analysis in our research.
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Data Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies.
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The techniques and methods presented for knowledge elicitation, model construction and verification, modeling techniques and... Læs mere
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Data analysts, statisticians, computer scientists-indeed anyone who has to explore a large dataset of their own-should benefit from reading this book.New... Læs mere
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This book introduces R using SAS and SPSS terms with which you are already familiar. The programs and practice datasets are available for download.The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon.
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This book offers a comprehensive review of Learning Analytics (LA). It highlights the latest results, methodologies, tools, strategies, and models and encompasses theoretical discussions as well as practical examples and strategies.
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Big Data is a growing business trend, but there little advice available on how to use it practically. Written by a... Læs mere
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The 2008 TUB-SJTU joint workshop on “Autonomous Systems – Self-Organization, Management, and Control” was held on October 6, 2008 at Shanghai Jiao Tong University, Shanghai, China.