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Titlebook: Discovery Science; 10th International C Vincent Corruble,Masayuki Takeda,Einoshin Suzuki Conference proceedings 2007 Springer-Verlag Berlin

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Literature-Based Discovery by an Enhanced Information Retrieval Modelterests. Since even experts’ knowledge is likely to be incomplete, important findings or associations among key concepts may remain unnoticed in the flood of information. This paper brings and extends a formal model from information retrieval in order to discover those implicit, hidden knowledge. Fo
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Discovering Mentorship Information from Author Collaboration Networkscal examples. We propose a . measure to assess researchers on their mentoring abilities. Our approach quantifies benefits bestowed by researchers upon their students by characterizing the publication dynamics of research advisor-student interactions in author collaboration networks. We show that our
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Machine Learning in Ecosystem Informaticsof linear gaussian dynamic Bayesian networks to automated anomaly detection in temperature data streams. Finally, the paper describes two educational activities: (a) a summer institute in ecosystem informatics and (b) an interdisciplinary Ph.D. program in Ecosystem Informatics for mathematics, computer science, and the ecosystem sciences.
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