Research Publications for Peter Reutemann

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Author's Publications

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• 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 at:
  https://hdl.handle.net/10289/10136
  Other publications by:
  REUTEMANN, Peter :: PFAHRINGER, Bernhard M :: HOLMES, Geoffrey

• 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 https://www.nzpps.org/book_contents.php?id=20

  Open Access version at:
  https://hdl.handle.net/10289/10675
  Other publications by:
  REUTEMANN, Peter :: HOLMES, Geoffrey

• 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). Conference held Sydney, Australia: JMLR Workshop and Conference Proceedings. Retrieved from http://jmlr.org/proceedings/papers/v41/reutemann15.html

  Other publications by:
  REUTEMANN, Peter :: HOLMES, Geoffrey

• 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

  Other publications by:
  REUTEMANN, Peter :: FLETCHER, Dale B

• Reutemann, P., & Vanschoren, J. (2012). Scientific Workflow Management with ADAMS. In P. Flach, T. De Bie, & N. Cristianini (Eds.), Proceedings of the Machine Learning and Knowledge Discovery in Databases (ECML-PKDD) (pp. 833-837). Springer Berlin Heidelberg. doi:10.1007/978-3-642-33486-3_58

  Other publications by:
  REUTEMANN, Peter

• Holmes, G., Fletcher, D., & Reutemann, P. (2012). An application of data mining to fruit and vegetable sample identification using Gas Chromatography-Mass Spectrometry. In R. Seppelt, A. A. Voinov, S. Lange, & D. Bankamp (Eds.), Proc Sixth Biennial Meeting of the International Environmental Modelling and Software Society (iEMSs), Managing Resources of a Limited Planet: Pathways and Visions under Uncertainty (pp. 1577-1584). Conference held at Leipzig, Germany: iEMSs. Retrieved from http://www.iemss.org/sites/iemss2012/proceedings.html

  Open Access version at:
  https://hdl.handle.net/10289/8409
  Other publications by:
  HOLMES, Geoffrey :: FLETCHER, Dale B :: REUTEMANN, Peter

• Holmes, G., Fletcher, D., & Reutemann, P. (2010). Predicting polycyclic aromatic hydrocarbon concentrations in soil and water samples. In Modelling for Environment's Sake: Proceedings of the 5th Biennial Conference of the International Environmental Modelling and Software Society (pp. 1812-1819). Canada: International Environmental Modelling and Software Society. Retrieved from http://www.iemss.org/iemss2010/proceedings.html

  Open Access version at:
  https://hdl.handle.net/10289/4374
  Other publications by:
  HOLMES, Geoffrey :: FLETCHER, Dale B :: REUTEMANN, Peter

• Bouckaert, R. R., Frank, E., Hall, M. A., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I. H. (2010). WEKA−Experiences with a Java open-source project. Journal of Machine Learning Research, 11, 2533-2541.

  Open Access version at:
  https://hdl.handle.net/10289/4766
  Other publications by:
  BOUCKAERT, Remco R :: FRANK, Eibe T :: HALL, Mark A :: HOLMES, Geoffrey :: PFAHRINGER, Bernhard M :: REUTEMANN, Peter :: WITTEN, Ian H

• Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I. H. (2009). The WEKA data mining software: an update. In SIGKDD Explorations (Vol. Jul, pp. 10-18). doi:10.1145/1656274.1656278

  Other publications by:
  HALL, Mark A :: FRANK, Eibe T :: HOLMES, Geoffrey :: PFAHRINGER, Bernhard M :: REUTEMANN, Peter :: WITTEN, Ian H

• Holmes, G., Fletcher, D., Reutemann, P., & Frank, E. (2009). Analysing chromatographic data using data mining to monitor petroleum content in water. In N. Ioannis, P. A. Athanasiadis, A. E. Rizzoli, J. M. G, 243, & mez (Eds.), Proc Fourth International ICSC Symposium on Information Technologies in Environmental Engineering Vol. Information Technologies in Environmental Engineering (pp. 278-290). Berlin: Springer. doi:10.1007/978-3-540-88351-7_21

  Open Access version at:
  https://hdl.handle.net/10289/2204
  Other publications by:
  HOLMES, Geoffrey :: FLETCHER, Dale B :: REUTEMANN, Peter :: FRANK, Eibe T

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