Please use this identifier to cite or link to this item: http://10.9.150.37:8080/dspace//handle/atmiyauni/1849
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dc.contributor.authorRamani, Jaydeep R.-
dc.contributor.authorDr. Jayesh N., Zalavadia-
dc.date.accessioned2024-11-21T07:05:12Z-
dc.date.available2024-11-21T07:05:12Z-
dc.date.issued2020-04-
dc.identifier.issn2320-0693-
dc.identifier.urihttp://10.9.150.37:8080/dspace//handle/atmiyauni/1849-
dc.description.abstractNow days few businesses including like banking, money, retail, protection, exposure, database promoting, and deals anticipate, and so on are Information Mining instruments for Customer Relationship Management (CRM). Driving banks are utilizing Information Mining devices for client division and advantage, credit scoring and endorsement, anticipating installment pass, promoting, distinguishing illegal exchanges, and so forth. The Financial sector and Trade industry knows that it is imaginable to pick up upper hand send information mining. For retailers, information mining can be utilized to give records on item deals course, client purchasing convention and wants and so forth. This article gives a study of the idea of Information mining and Customer Relationship Management in sorted out The Financial sector and Trade industry. It likewise talks about standard error and engaged with information mining assess different information mining applications in various divisions.en_US
dc.language.isoenen_US
dc.publisherTathapien_US
dc.relation.ispartofseries19;8-
dc.subjectCRMen_US
dc.subjectInformation Miningen_US
dc.subjectBanking and Retail Industriesen_US
dc.subjectAnalytical Intelligenceen_US
dc.subjectclusteringen_US
dc.titleInformation Mining Techniques for Customer Relationship Management in Banking Sectoren_US
dc.typeArticleen_US
Appears in Collections:01. Journal Articles

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