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dc.contributor.authorŁukasik, Michał
dc.contributor.authorKuśmierczyk, Tomasz
dc.contributor.authorBolikowski, Łukasz
dc.contributor.authorNguyen, Hung Son
dc.date.accessioned2013-06-24T18:34:14Z
dc.date.available2013-06-24T18:34:14Z
dc.date.issued2013
dc.identifier.citationM. 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.en
dc.identifier.other10.1007/978-3-642-35647-6_22
dc.identifier.urihttp://depot.ceon.pl/handle/123456789/1960
dc.description.abstractOne 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.en
dc.description.sponsorshipNational Centre for Research and Development (NCBiR) Grant No. SP/I/1/77065/10en
dc.language.isoenen
dc.publisherSpringeren
dc.rightsDozwolony użytek
dc.titleHierarchical, multi-label classification of scholarly publications: modifications of ML-KNN algorithmen
dc.typeinfo:eu-repo/semantics/bookParten
dc.description.epersonŁukasz Bolikowski


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