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IMPROVING SENSOR NETWORK PREDICTIONS THROUGH THE IDENTIFICATION OF GRAPHICAL FEATURES
(2019)
We propose a framework that represents sensor network data as a graph, extracts graphical features, and applies feature selection methods to identify the most useful features to be used by a classifier for prediction tasks ...