A Resource Efficient Big Data Analysis Method for the Social Sciences: The Case of Global IP Activity

Klaus Ackermann, Simon D. Angus. A Resource Efficient Big Data Analysis Method for the Social Sciences: The Case of Global IP Activity. In David Abramson, Michael Lees, Valeria V. Krzhizhanovskaya, Jack Dongarra, Peter M. A. Sloot, editors, Proceedings of the International Conference on Computational Science, ICCS 2014, Cairns, Queensland, Australia, 10-12 June, 2014. Volume 29 of Procedia Computer Science, pages 2360-2369, Elsevier, 2014. [doi]

@inproceedings{AckermannA14,
  title = {A Resource Efficient Big Data Analysis Method for the Social Sciences: The Case of Global IP Activity},
  author = {Klaus Ackermann and Simon D. Angus},
  year = {2014},
  doi = {10.1016/j.procs.2014.05.220},
  url = {http://dx.doi.org/10.1016/j.procs.2014.05.220},
  researchr = {https://researchr.org/publication/AckermannA14},
  cites = {0},
  citedby = {0},
  pages = {2360-2369},
  booktitle = {Proceedings of the International Conference on Computational Science, ICCS 2014, Cairns, Queensland, Australia, 10-12 June, 2014},
  editor = {David Abramson and Michael Lees and Valeria V. Krzhizhanovskaya and Jack Dongarra and Peter M. A. Sloot},
  volume = {29},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}