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A bibliometric analysis on Data Mining and Big Data
International Journal of Electronic Business, 2016Along with more and faster accumulation of electronic business data, Data Mining and the newer Big Data issues are attracting more attention. This paper reports the literature analysis based on the publication journals and articles in the research databases.
Shu-Feng Tseng +2 more
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The research landscape of big data: a bibliometric analysis
Library Hi Tech, 2019Purpose In recent years, the rapid growth of big data has presented immense potential for business applications as well as raised great interest from academia. In response to this emerging phenomenon, the purpose of this paper is to provide a comprehensive literature review of big data.
Xiaohong Liu 0009 +3 more
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Big data for smart factories: A bibliometric analysis
2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2019The use of big data is rapidly growing in recent years, as a result of access to huge amounts of data, which can be obtained from various sources. Big data has played a significant role in all sectors, for example, the manufacturing sector, where it plays a very important role due to its ability to provide economic growth.
Tine Bertoncel +2 more
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Data bibliometrics: metrics before norms
Online Information Review, 2017Purpose The purpose of this paper is to highlight the problem of establishing metrics for the impact of research data when norms of behaviour have not yet become established. Design/methodology/approach The paper considers existing research into data citation and explores the citation of data journals.
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2018
Bibliometric data of Babesia obtained from consulted bibliographical databases (Medline, Scopus, SCI-E, LILACS, Scielo and Google Scholar)
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Bibliometric data of Babesia obtained from consulted bibliographical databases (Medline, Scopus, SCI-E, LILACS, Scielo and Google Scholar)
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Fullerene Data Mining Using Bibliometrics and Database Tomography
Journal of Chemical Information and Computer Sciences, 1999Database tomography (DT) is a textual database analysis system consisting of two major components: (1) algorithms for extracting multiword phrase frequencies and phrase proximities (physical closeness of the multiword technical phrases) from any type of large textual database, to augment (2) interpretative capabilities of the expert human analyst.
Ronald N. Kostoff +4 more
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