Big Data Research Landscape: A Meta-Analysis and Literature Review from 2009 to 2018
International Informatics and Software Engineering Conference (UBMYK), Ankara, Türkiye, 6 - 07 Kasım 2019, ss.1-5, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/ubmyk48245.2019.8965534
- Basıldığı Şehir: Ankara
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.1-5
- Karadeniz Teknik Üniversitesi Adresli: Evet
Özet
Big data is a relatively new and lively field of research and practice. Researchers entering a new field are interested in the themes, trends and gaps that characterise it, and understanding these is only possible through a detailed analysis of the domain-specific literature. Because scientific literature grows exponentially, such trends are not easy to identify manually. In this study, probabilistic topic modeling, an effective approach for the semantic analysis of large-scale textual collections, was used to conduct a semantic content analysis of the big data literature from 2009 to 2018 in order to discover its research trends and themes.