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Performance Prediction for Students: A Multi-Strategy Approach

Rule Mining and Collaborative Filtering. – In: User Modeling and User-Adapted Interaction. Vol. 19 . No 1. Springer Netherlands Publisher, 2009, pp. 99-132. 7. Gray, G., C. McGuinness, P. Owende. An Application of Classification Models to Predict Learner Progression in Tertiary Education. – In: Advance IEEE International Computing Conference (IACC’14), 2014, pp. 549-554. 8. Golding, P., S. McNamarah. Predicting Academic Performance in the School of Computing and Information Technology (SCIT). – In: Proc. of 35th ASEE/IEEE Frontiers in Education

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A Multi-match Approach to the Author Uncertainty Problem

then prompts the user to select a WOS field on which to consolidate author names. After this the user is prompted to point to the name of the authors field, and finally asked to identify a specific author name (referred to by the script as the primary author) within this field whom the user knows to be a true positive (a suggested approach is to point to an author name associated with one of the records that has the author’s ORCID iD or email address attached to it). Figure 1 provides a visual: Figure 1 The progression of user inputs (starting in the top

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Big Metadata, Smart Metadata, and Metadata Capital: Toward Greater Synergy Between Data Science and Metadata

is essential for using data to compare new energy approaches; track the progression and decline of a health crisis, such as the Ebola virus; or study climate change. The biggest challenge with metadata valuation in this broader spectrum, and even with financial aspects, is the formidable task of substantiating value. In pursuing metadata capital as a financial topic, costs can be identified, or at least estimated, by adding system expenses, staff salaries distributed by hours dedicated to metadata tasks, and other incurred costs. However, determining exactly

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Functions of Uni- and Multi-citations: Implications for Weighted Citation Analysis

,” “Discussion,” and “Conclusion” sections ( Doumont, 2010 ). This structure reflects the progression of most research projects ( Doumont, 2010 ), facilitates more effective and efficient use of research articles, and has been recommended by many style manuals and required by most scientific journals ( McCain & Turner, 1989 ). Bertram (1972) suggested that citation level or significance is predictable through the identification of the section of the article in which a citation appears. Although some later studies (e.g. Hanney et al., 2005 ) found no significant difference

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