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From Big Data to business analytics: The case study of churn prediction
cris.lastimport.scopus | 2024-02-12T19:45:30Z |
dc.affiliation | Uniwersytet Warszawski |
dc.contributor.author | Ślęzak, Dominik |
dc.contributor.author | Lameski, Petre |
dc.contributor.author | Apanowicz, Cas |
dc.contributor.author | Zdravevski, Eftim |
dc.date.accessioned | 2024-01-25T01:36:58Z |
dc.date.available | 2024-01-25T01:36:58Z |
dc.date.issued | 2020 |
dc.description.finance | Publikacja bezkosztowa |
dc.description.volume | 90 |
dc.identifier.doi | 10.1016/J.ASOC.2020.106164 |
dc.identifier.issn | 1568-4946 |
dc.identifier.uri | https://repozytorium.uw.edu.pl//handle/item/107507 |
dc.identifier.weblink | https://api.elsevier.com/content/article/PII:S1568494620301046?httpAccept=text/xml |
dc.language | eng |
dc.pbn.affiliation | computer and information sciences |
dc.relation.ispartof | Applied Soft Computing Journal |
dc.relation.pages | 106164, 1-15 |
dc.rights | ClosedAccess |
dc.sciencecloud | nosend |
dc.title | From Big Data to business analytics: The case study of churn prediction |
dc.type | JournalArticle |
dspace.entity.type | Publication |