Machine learning for business analytics

dc.authorscopusid 57861301600
dc.contributor.author Okatan,K.
dc.date.accessioned 2024-05-25T12:33:14Z
dc.date.available 2024-05-25T12:33:14Z
dc.date.issued 2020
dc.department Okan University en_US
dc.department-temp Okatan K., Okan University, Turkey en_US
dc.description.abstract All these types of analytics have been answering business questions for a long time about the principal methods of investigating data warehouses. Especially data mining and business intelligence systems support decision makers to reach the information they want. Many existing systems are trying to keep up with a phenomenon that has changed the rules of the game in recent years. This is undoubtedly the undeniable attraction of 'big data'. In particular, the issue of evaluating the big data generated especially by social media is among the most up-to-date issues of business analytics, and this issue demonstrates the importance of integrating machine learning into business analytics. This section introduces the prominent machine learning algorithms that are increasingly used for business analytics and emphasizes their application areas. © 2022, IGI Global. en_US
dc.identifier.citationcount 0
dc.identifier.doi 10.4018/978-1-7998-2566-1.ch013
dc.identifier.endpage 256 en_US
dc.identifier.isbn 978-179982568-5
dc.identifier.isbn 978-179982566-1
dc.identifier.scopus 2-s2.0-85136611973
dc.identifier.startpage 232 en_US
dc.identifier.uri https://doi.org/10.4018/978-1-7998-2566-1.ch013
dc.identifier.uri https://hdl.handle.net/20.500.14517/2463
dc.language.iso en
dc.publisher IGI Global en_US
dc.relation.ispartof Challenges and Applications of Data Analytics in Social Perspectives en_US
dc.relation.publicationcategory Kitap Bölümü - Uluslararası en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 0
dc.subject [No Keyword Available] en_US
dc.title Machine learning for business analytics en_US
dc.type Book Part en_US

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