dc.contributor.author | Štrimaitis, Rokas | |
dc.contributor.author | Kurasova, Olga | |
dc.contributor.author | Stefanovič, Pavel | |
dc.date.accessioned | 2023-09-18T20:22:41Z | |
dc.date.available | 2023-09-18T20:22:41Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/149300 | |
dc.format | PDF | |
dc.format.extent | p. 82 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | https://doi.org/10.15388/Proceedings.2019.8 | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:54761369/datastreams/MAIN/content | |
dc.title | The n-grams based text similarity detection approach using self-organizing maps and similarity measures | |
dc.type | Konferencijos pranešimo santrauka / Conference presentation abstract | |
dcterms.license | Creative Commons – Attribution – 4.0 International | |
dcterms.references | 0 | |
dc.type.pubtype | T2 - Konferencijos pranešimo tezės / Conference presentation abstract | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | Vilniaus universitetas | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.vgtuprioritizedfields | IK0303 - Dirbtinio intelekto ir sprendimų priėmimo sistemos / Artificial intelligence and decision support systems | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.en | n-grams based text similarity detection | |
dc.subject.en | self-organizing maps | |
dc.subject.en | similarity measures | |
dcterms.sourcetitle | 11th international workshop on data analysis methods for software systems (DAMSS 2019), Druskininkai, Lithuania, November 28-30, 2019 / Lithuanian Computer Society, Vilnius University Institute of Data Science and Digital Technologies, Lithuanian Academy of Sciences | |
dc.publisher.name | Vilnius University Press | |
dc.publisher.city | Vilnius | |
dc.identifier.doi | 10.15388/Proceedings.2019.8 | |
dc.identifier.elaba | 54761369 | |