Browsing by Author "Reutemann, Peter"
Now showing items 1-5 of 11
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Analysing chromatographic data using data mining to monitor petroleum content in water
(Springer, 2009)Chromatography is an important analytical technique that has widespread use in environmental applications. A typical application is the monitoring of water samples to determine if they contain petroleum. These tests are ... -
An application of data mining to fruit and vegetable sample identification using Gas Chromatography-Mass Spectrometry
(iEMSs, 2012)One of the uses of Gas Chromatography-Mass Spectrometry (GC-MS) is in the detection of pesticide residues in fruit and vegetables. In a high throughput laboratory there is the potential for sample swaps or mislabelling, ... -
MEKA: A multi-label/multi-target extension to WEKA
(2016)Multi-label classification has rapidly attracted interest in the machine learning literature, and there are now a large number and considerable variety of methods for this type of learning. We present MEKA: an open-source ... -
A novel two stage scheme utilizing the test set for model selection in text classification
(University of Technology, Sydney, 2005)Text classification is a natural application domain for semi-supervised learning, as labeling documents is expensive, but on the other hand usually an abundance of unlabeled documents is available. We describe a novel ... -
Predicting polycyclic aromatic hydrocarbon concentrations in soil and water samples
(International Environmental Modelling and Software Society, 2010)Polycyclic Aromatic Hydrocarbons (PAHs) are compounds found in the environment that can be harmful to humans. They are typically formed due to incomplete combustion and as such remain after burning coal, oil, petrol, diesel, ...
