Commercial Research

2015

Big Data with ADAMS

P. Reutemann and G. Holmes (2015). Big Data with ADAMS. Proceedings of the 4th International Workshop on Big Data, Streams and Heterogenous Source Mining: Algorithms, Systems, Programming Models and Applications. Editors: Wei Fan, Albert Bifet, Quiang Yang, Philip S. Yu. Vol. 41:5-8. pdf slides

2014

The use of data mining to assist crop protection decisions on kiwifruit in New Zealand

M.G. Hill, P.G. Connolly, P. Reutemann and D. Fletcher (2014). The use of data mining to assist crop protection decisions on kiwifruit in New Zealand. Computers and Electronics in Agriculture, Vol 108, pp 250-257. doi

2012

Scientific Workflow Management with ADAMS

Reutemann, Peter and Vanschoren, Joaquin (2012). Scientific Workflow Management with ADAMS. Proceedings of the Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), Part II, LNCS 7524, pp. 833–837. doi

An application of data mining to fruit and vegetable sample identification using Gas Chromatography-Mass Spectrometry

Geoffrey Holmes, Dale Fletcher, and Peter Reutemann (2012). An application of data mining to fruit and vegetable sample identification using Gas Chromatography-Mass Spectrometry. Proceedings of the International Congress on Environmental Modelling and Software (IEMSS), Leizpig, Germany, 2012. pdf

2011

A comparison of methods for estimating prediction intervals in NIR spectroscopy: Size matters

Remco R. Bouckaert, Eibe Frank, Geoffrey Holmes, and Dale Fletcher. A comparison of methods for estimating prediction intervals in NIR spectroscopy: Size matters. Chemometrics and Intelligent Laboratory Systems, 109(2):139 - 145, 2011. doi

2010

Predicting Polycyclic Aromatic Hydrocarbon Concentrations in Soil and Water Samples

Geoffrey Holmes, Dale Fletcher, and Peter Reutemann (2010). Predicting Polycyclic Aromatic Hydrocarbon Concentrations in Soil and Water Samples. Proceedings of the International Congress on Environmental Modelling and Software (IEMSS), Ottawa, Canada, 2010. pdf

2009

Analysing chromatographic data using data mining to monitor petroleum content in water

Geoffrey Holmes, Dale Fletcher, Peter Reutemann, and Eibe Frank (2009). Analysing chromatographic data using data mining to monitor petroleum content in water. Proceedings of the 4th International ICSC Symposium, Thessaloniki, Greece, 2009, 278-290. pdf