Mr Peter Reutemann

Senior Research Programmer (Computer Science)

Qualifications: MSc CS Freiburg

Contact Details

Room: FG.2.03
Phone: +64 7 858 5174
Extension: 5174
Fax: +64 7 838 4155

Research Interests

Some of the research projects Peter has been involved in are:

  • ADAMS (Advanced Data mining and Machine learning System)
  • MOA (Massive Online Analysis)
  • MEKA: A Multi-label Extension to WEKA
  • Weka
  • Semi-Supervised Learning and Collective Classification

Teaching Commitments

Recent Publications

  • Read, J., Reutemann, P., Pfahringer, B., & Holmes, G. (2016). MEKA: A multi-label/multi-target extension to WEKA. Journal of Machine Learning Research, 17(21), 1-5. Open Access version: hdl:10289/10136

  • Reutemann, P., & Holmes, G. (2015). Big data with ADAMS. In 4th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications Vol. 41 (pp. 5-8). Sydney, Australia: JMLR Workshop and Conference Proceedings. Retrieved from

  • Reutemann, P. M., & Holmes, G. (2015). Scientific workflow management with ADAMS: building and data mining a database of crop protection and related data. In R. M. Beresford, K. J. Froud, J. M. Kean, & S. P. Worner (Eds.), The Plant Protection Data Toolbox (pp. 167-174). New Zealand Plant Protection Society (Inc). Retrieved from Open Access version: hdl:10289/10675

  • Hill, M. G., Connolly, P. G., Reutemann, P., & Fletcher, D. (2014). The use of data mining to assist crop protection decisions on kiwifruit in New Zealand. Computers and Electronics in Agriculture, 108, 250-257. doi:10.1016/j.compag.2014.08.011

Find more research publications by Peter Reutemann