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Self Organizing Maps for Visualization of Categories

Repozytorium Uniwersytetu Mikołaja Kopernika

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dc.contributor.author Duch, Włodzisław
dc.contributor.author Szymański, Julian
dc.date.accessioned 2012-12-19T16:30:40Z
dc.date.available 2012-12-19T16:30:40Z
dc.date.issued 2012
dc.identifier.citation Neural Information Processing 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I, pp. 160-167
dc.identifier.isbn 978-3-642-34475-6
dc.identifier.uri http://repozytorium.umk.pl/handle/item/276
dc.description.abstract Visualization of Wikipedia categories using Self Organizing Maps shows an overview of categories and their relations, helping to narrow down search domains. Selecting particular neurons this approach enables retrieval of conceptually similar categories. Evaluation of neural activations indicates that they form coherent patterns that may be useful for building user interfaces for navigation over category structures.
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartofseries Lecture Notes in Computer Science;7663
dc.rights info:eu-repo/semantics/openAccess
dc.subject categories visualization
dc.subject Wikipedia
dc.subject self organizing maps
dc.subject documents categorization
dc.title Self Organizing Maps for Visualization of Categories
dc.type info:eu-repo/semantics/article


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