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This updated edition offers an indispensable exposition on real-time computing, with particular emphasis on predictable scheduling algorithms.
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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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Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deploying predictive models.
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Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Mining Text Data introduces an important niche in the text analytics... Læs mere
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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