| dc.contributor.author | Mamčenko, Jelena | |
| dc.contributor.author | Gasimov, Jamil | |
| dc.date.accessioned | 2023-09-18T20:04:31Z | |
| dc.date.available | 2023-09-18T20:04:31Z | |
| dc.date.issued | 2014 | |
| dc.identifier.other | (BIS)VGT02-000028346 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/146534 | |
| dc.description.abstract | Data Mining technologies are developing very rapidly nowadays. One of the biggest fields of application of data mining is prediction of churn in service provider companies. Customers who switch to another service provider are called churned customers. In this study are described main techniques and processes of Data Mining. Customer churn is defined, different types and causes of churn are discussed. Social aspects of churn are brought to attention and specifically related to realities of Azerbaijan. | eng |
| dc.format.extent | p. 233-240 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.subject | IK01 - Informacinės technologijos, ontologinės ir telematikos sistemos / Information technologies, ontological and telematic systems | |
| dc.title | Customer churn prediction in mobile operator using combined model | |
| dc.type | Straipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication | |
| dcterms.references | 19 | |
| dc.type.pubtype | P1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
| dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
| dc.subject.researchfield | S 004 - Ekonomika / Economics | |
| dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
| dc.subject.en | Data mining | |
| dc.subject.en | Churn detection | |
| dc.subject.en | Neural network | |
| dc.subject.en | Cox regression | |
| dc.subject.en | Decision tree | |
| dc.subject.en | Combined model | |
| dcterms.sourcetitle | ICEIS 2014 : proceedings of the 16th International Conference on Enterprise Information Systems. Lisbon, Portugal 27 - 30 April | |
| dc.publisher.name | Institute for Systems and Technologies of Information, Control and Communication | |
| dc.publisher.city | Lisbon | |
| dc.identifier.elaba | 4073637 | |
