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Abstract
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| Bibliometric indices are an increasingly important topic for the scientific community nowadays. One of the most successful bibliometric indices is the well-known h-index. In view of the attention attracted by this index, our research is based on the construction of several prediction models to forecast the h-index of Spanish professors (with a permanent position) for a four-year time horizon. We built two different types of models (junior models and senior models) to differentiate between professors' seniority. These models are learnt from bibliometric data using a cost-sensitive naive Bayes approach that takes into account the expected cost of instances predictions at classification time. Results show that it is easier to predict the h-index of the one-year time horizon than the others, that is, it has a higher average accuracy and lower average total cost than the others. Similarly, it is easier to predict the h-index of junior professors than senior professors. | |
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International
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Si |
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Congress
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11th International Conference on Intelligent Systems Design and Applications (ISDA 2011) |
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960 |
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Place
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Córdoba, Spain |
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Reviewers
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Si |
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ISBN/ISSN
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978-1-4577-1676-8 |
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Start Date
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22/11/2011 |
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End Date
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24/11/2011 |
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From page
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599 |
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To page
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604 |
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Proceedings of the 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011) |