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Machine Learning for Business Analytics

Machine Learning for Business Analytics
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Author(s): Kağan Okatan (İstanbul Kültür University, Turkey)
Copyright: 2021
Pages: 25
Source title: Challenges and Applications of Data Analytics in Social Perspectives
Source Author(s)/Editor(s): V. Sathiyamoorthi (Sona College of Technology, India)and Atilla Elci (Hasan Kalyoncu University, Turkey)
DOI: 10.4018/978-1-7998-2566-1.ch013

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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.

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