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This paper introduces a data science method to determine a set of features for training a vector support machine (SVM). The SVM is used to model the relationship between the… Click to show full abstract
This paper introduces a data science method to determine a set of features for training a vector support machine (SVM). The SVM is used to model the relationship between the distribution of one particular invasive mosquito species and climate data. Two biologists selected training data on the basis of their domain expertise. This was compared with the result of the data science simulation. The paper then explores the possible uses of data science to generate new knowledge as well as to identify the weaknesses of this technique.
Keywords:
machine;
feature selection;
automated feature;
selection machine;
data science;
distribution
Journal Title: Ecological Modelling
Year Published: 2017
Link to full text (if available)
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Journal Title: Ecological Modelling
Year Published: 2017
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!