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Dynamic customer churn prediction strategy for business intelligence using text analytics with evolutionary optimization algorithms
dc.contributor.author | V. Pustokhina, Irina | |
dc.contributor.author | Pustokhin, Denis A. | |
dc.contributor.author | Aswathy, R. H. | |
dc.contributor.author | Jayasankar, T. | |
dc.contributor.author | Jeyalakshmi, C. | |
dc.contributor.author | García Díaz, Vicente | |
dc.contributor.author | Shankar, K. | |
dc.date.accessioned | 2022-04-22T11:13:56Z | |
dc.date.available | 2022-04-22T11:13:56Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Information processing & management, 58(6), (2021); doi:10.1016/j.ipm.2021.102706 | |
dc.identifier.issn | 0306-4573 | |
dc.identifier.issn | 1873-5371 | |
dc.identifier.uri | http://hdl.handle.net/10651/62898 | |
dc.language.iso | eng | |
dc.relation.ispartof | Information processing & management | |
dc.rights | © 2021 Elsevier Ltd | |
dc.source | WOS:000697732600004 | |
dc.title | Dynamic customer churn prediction strategy for business intelligence using text analytics with evolutionary optimization algorithms | |
dc.type | journal article | |
dc.identifier.doi | 10.1016/j.ipm.2021.102706 | |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.ipm.2021.102706 |
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