Trends in big data analytics
By Karthik Kambatla, Giorgios Kollias, Vipin Kumar, Ananth Y. Grama. J. Parallel Distributed Comput., 2014
815 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems
View Paper: https://www.semanticscholar.org/paper/31330de2f2bc268ee2bf5ccbe3bed08b52c3e4fa
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
In Hardware and Architecture
In Information Systems
Citations in the corpus
- Big data analytics in supply chain management between 2010 and 2016: Insights to industries (2018, background): “Kambatla et al. (2014) discussed the trends in big data analytics which include hardware and software.”
- Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges (2017, neutral): “This massive data generation results in ‘‘big data’’ [17].”
- Mitigating Supply Chain Risk via Sustainability Using Big Data Analytics: Evidence from the Manufacturing Supply Chain (2017, methodology): “Such data are used to comprehensively study global climate change and assign specific causality [52].”
- Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics (2017, background): “There have been a few review papers on big data in general [2], [18] [26], [56], [59], [63], [66], [67] and in diverse specialized fields e.”