Hierarchical, multi-label classification of scholarly publications: modifications of ML-KNN algorithm

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Authors
Łukasik, Michał
Kuśmierczyk, Tomasz
Bolikowski, Łukasz
Nguyen, Hung Son
Date
2013
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
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Abstract
One of the common problems when dealing with digital libraries is lack of classification codes in some of the documents. In the following publication we deal with this problem in a multi-label, hierarchical case of Mathematics Subject Classification System. We develop modifications of ML-KNN algorithm and show how they improve results given by the algorithm on example of Springer textual data.
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Citation
M. Łukasik, T. Kuśmierczyk, Ł. Bolikowski, and H. S. Nguyen, “Hierarchical, multi-label classification of scholarly publications: modifications of ML-KNN algorithm,” in Intelligent Tools for Building a Scientific Information Platform, R. Bembenik, L. Skonieczny, H. Rybinski, M. Kryszkiewicz, and M. Niezgodka, Eds. Springer, 2013, pp. 343–363.
URI
http://depot.ceon.pl/handle/123456789/1960
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Artykuły ICM / ICM Articles