A machine learning framework for data-driven CRM
dc.authorscopusid | 57192819774 | |
dc.authorscopusid | 56523097500 | |
dc.contributor.author | Peker Serhat | |
dc.contributor.author | Kart Özge | |
dc.date.accessioned | 2023-03-22T19:47:44Z | |
dc.date.available | 2023-03-22T19:47:44Z | |
dc.date.issued | 2022 | |
dc.department | Belirlenecek | en_US |
dc.description.abstract | In today’s digital world, enterprises accumulate large quantiles of customer data which drives firms to implement data-driven CRM strategies to manage customer relationships. In CRM, machine learning techniques are widely used as a tool for using customer data and thereby acquiring knowledge from such data. In this context, this research presents a holistic framework for the implementation of machine learning methods in data-driven CRM applications. The proposed framework relies on past transactional data of customers and employs state-of-art machine learning techniques. This research serves as a foundation for future studies on data-driven CRM applications utilizing machine learning techniques. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. | en_US |
dc.identifier.doi | 10.1007/978-981-16-8997-0_5 | |
dc.identifier.endpage | 103 | en_US |
dc.identifier.issn | 25097873 | |
dc.identifier.scopus | 2-s2.0-85130788146 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.startpage | 87 | en_US |
dc.identifier.uri | https://doi.org/10.1007/978-981-16-8997-0_5 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14034/845 | |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.relation.journal | Accounting, Finance, Sustainability, Governance and Fraud | en_US |
dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Artificial intelligence | en_US |
dc.subject | Association analysis | en_US |
dc.subject | Classification | en_US |
dc.subject | Clustering | en_US |
dc.subject | CRM | en_US |
dc.subject | Customer attraction | en_US |
dc.subject | Customer retention | en_US |
dc.subject | Data mining | en_US |
dc.subject | KDD | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Regression | en_US |
dc.title | A machine learning framework for data-driven CRM | en_US |
dc.type | Book Chapter | en_US |