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dc.contributor.authorKosgahakumbura, PK
dc.contributor.authorHettiarachchi, YB
dc.contributor.authorPeiris, DR
dc.contributor.authorHewage, RP
dc.contributor.authorHewaarchchi, ST
dc.contributor.authorMadhubhashani, KD
dc.contributor.authorLakmali, SMM
dc.contributor.authorGunathilake, HRWP
dc.date.accessioned2025-01-15T09:36:35Z
dc.date.available2025-01-15T09:36:35Z
dc.date.issued2024-09
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/7995
dc.language.isoenen_US
dc.subjectEmployee attritionen_US
dc.subjectMachine Learningen_US
dc.subjectPredictive Modelsen_US
dc.subjectClassificationen_US
dc.titleData Science Driven Solution to Predict Employee Attrition: A Systematic Reviewen_US
dc.typeArticle Abstracten_US
dc.identifier.facultyFaculty of Computingen_US
dc.identifier.journal17th International Research Conference ( September 26–27, 2024 )en_US
dc.identifier.pgnos49en_US


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