Show simple item record

dc.contributor.authorBugajev, Andrej
dc.contributor.authorKriauzienė, Rima
dc.date.accessioned2023-09-18T16:41:37Z
dc.date.available2023-09-18T16:41:37Z
dc.date.issued2023
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/116057
dc.formatPDF
dc.format.extentp. 9
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://www.apgads.lu.lv/fileadmin/user_upload/lu_portal/apgads/PDF/Konferences/2023/MMA2023_Abstracts.pdf
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:168709182/datastreams/MAIN/content
dc.titleThe investigation of data temporal delays impact on classification performance for churn prediction in telecommunications
dc.typeKonferencijos pranešimo santrauka / Conference presentation abstract
dcterms.references1
dc.type.pubtypeT2 - Konferencijos pranešimo tezės / Conference presentation abstract
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.vgtuprioritizedfieldsIK0303 - Dirbtinio intelekto ir sprendimų priėmimo sistemos / Artificial intelligence and decision support systems
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enchurn prediction
dc.subject.enmachine learning
dc.subject.enbinary classification
dc.subject.enimbalanced learning
dcterms.sourcetitle26th international conference on Mathematical Modelling and Analysis [MMA2023], May 30–June 2, 2023, Jurmala, Latvia : abstracts
dc.publisher.nameUniversity of Latvia
dc.publisher.cityRiga
dc.identifier.doi10.22364/JZYM4660
dc.identifier.elaba168709182


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record