Machine learning for business analytics

dc.authorscopusid57861301600
dc.contributor.authorOkatan,K.
dc.date.accessioned2024-05-25T12:33:14Z
dc.date.available2024-05-25T12:33:14Z
dc.date.issued2020
dc.departmentOkan Universityen_US
dc.department-tempOkatan K., Okan University, Turkeyen_US
dc.description.abstractAll 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.citationcount0
dc.identifier.doi10.4018/978-1-7998-2566-1.ch013
dc.identifier.endpage256en_US
dc.identifier.isbn978-179982568-5
dc.identifier.isbn978-179982566-1
dc.identifier.scopus2-s2.0-85136611973
dc.identifier.startpage232en_US
dc.identifier.urihttps://doi.org/10.4018/978-1-7998-2566-1.ch013
dc.identifier.urihttps://hdl.handle.net/20.500.14517/2463
dc.language.isoen
dc.publisherIGI Globalen_US
dc.relation.ispartofChallenges and Applications of Data Analytics in Social Perspectivesen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.scopus.citedbyCount0
dc.subject[No Keyword Available]en_US
dc.titleMachine learning for business analyticsen_US
dc.typeBook Parten_US
dspace.entity.typePublication

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