Big data as the new enabler in business and other intelligence

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Cite
Vossen, Gottfried. “Big Data As the New Enabler in Business and Other Intelligence”. Vietnam Journal of Computer Science, vol. 1, no. 1, 2013, pp. 3-14, https://doi.org/10.1007/s40595-013-0001-6.
Vossen, G. (2013). Big data as the new enabler in business and other intelligence. Vietnam Journal of Computer Science, 1(1), 3-14. https://doi.org/10.1007/s40595-013-0001-6
Vossen G. Big data as the new enabler in business and other intelligence. Vietnam Journal of Computer Science. 2013;1(1):3-14.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Science (General)
Cybernetics
Information theory
Technology
Technology (General)
Industrial engineering
Management engineering
Information technology
Refrences
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ACM SIGMOD Record
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
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Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 10 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A multi-attribute based framework for ontology aligning and was published in 2014. The most recent citation comes from a 2024 study titled The multi-criteria evaluation of research efforts based on ETL software: from business intelligence approach to big data and semantic approaches. This article reached its peak citation in 2017, with 4 citations. It has been cited in 13 different journals, 15% of which are open access. Among related journals, the Journal of Intelligent & Fuzzy Systems cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year