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Integration of Data Mining and Business Intelligence in Big Data Analytics: A Research Agenda on Scholarly Publications

Integration of Data Mining and Business Intelligence in Big Data Analytics: A Research Agenda on Scholarly Publications
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Author(s): Atik Kulakli (American University of the Middle East, Kuwait)
Copyright: 2021
Pages: 31
Source title: Integration Challenges for Analytics, Business Intelligence, and Data Mining
Source Author(s)/Editor(s): Ana Azevedo (CEOS.PP, ISCAP, Polytechnic of Porto, Portugal) and Manuel Filipe Santos (Algoritmi Centre, University of Minho, GuimarĂ£es, Portugal)
DOI: 10.4018/978-1-7998-5781-5.ch002

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Abstract

The purpose of this chapter is to analyze and explore the research studies for scholarly publication trends and patterns related to the integration of data mining in particular business intelligence in big data analytics domains published in the period of 2010-2019. Research patterns explore in highly prestigious sources that have high impact factors and citations counted in the ISI Web of Science Core Collection database (indexes included SCI-Exp and SSCI). Bibliometric analysis methods applied for this study under the research limitations. Research questions formed based on bibliometric principles concentrating fields such as descriptive of publication, author productivity, country-regions distribution, keyword analysis with contribution among researchers, citation analysis, co-citation patterns searched. Findings showed strong relations and patterns on these important research domains. Besides this chapter would useful for researchers to obtain an overview of publication trends on research domains to be concerned for further studies and shows the potential gaps in those fields.

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