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Dynamic customer churn prediction strategy for business intelligence using text analytics with evolutionary optimization algorithms

dc.contributor.authorV. Pustokhina, Irina
dc.contributor.authorPustokhin, Denis A.
dc.contributor.authorAswathy, R. H.
dc.contributor.authorJayasankar, T.
dc.contributor.authorJeyalakshmi, C.
dc.contributor.authorGarcía Díaz, Vicente 
dc.contributor.authorShankar, K.
dc.date.accessioned2022-04-22T11:13:56Z
dc.date.available2022-04-22T11:13:56Z
dc.date.issued2021
dc.identifier.citationInformation processing & management, 58(6), (2021); doi:10.1016/j.ipm.2021.102706
dc.identifier.issn0306-4573
dc.identifier.issn1873-5371
dc.identifier.urihttp://hdl.handle.net/10651/62898
dc.language.isoeng
dc.relation.ispartofInformation processing & management
dc.rights© 2021 Elsevier Ltd
dc.sourceWOS:000697732600004
dc.titleDynamic customer churn prediction strategy for business intelligence using text analytics with evolutionary optimization algorithms
dc.typejournal article
dc.identifier.doi10.1016/j.ipm.2021.102706
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.ipm.2021.102706


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