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- W2033781518 abstract "A palaeoecological study was conducted to investigate past environmental conditions and vegetation dynamics around the southwestern Ljubljana Moor. In order to find potential regularities and/or dependencies among co-existent plant species through time, different machine learning methods were applied to pollen records from the cores taken at Bistra and Hočevarica. The data comprised relative pollen frequencies of the most common plant genera/families at particular core depths that correspond to particular ages in the Early and Mid Holocene periods. The applied methods include equation discovery and hierarchical clustering. Both methods have found plausible and explainable relationships among identified plant genera/families." @default.
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- W2033781518 date "2006-01-01" @default.
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- W2033781518 title "Application of machine learning methods to palaeoecological data" @default.
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- W2033781518 doi "https://doi.org/10.1016/j.ecolmodel.2005.08.018" @default.
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