Using machine learning on sensor data
Alexandra Moraru, Marko Pesko, Maria Porcius, Carolina Fortuna and Dunja Mladenić
In: 32nd International Conference on Information Technology Interfaces, 21 - 24 June 2010, Cavtat, Dubrovnik, Croatia.

Abstract

Developing hardware, algorithms and protocols, as well as collecting data in sensor networks are all important challenges in building good systems. We describe a vertical system integration of a sensor node and a toolkit of machine learning algorithms. Based on a dataset that combines sensor data with additional introduced data we predict the number of persons in a closed space. We analyze the dataset and evaluate the performance of two types of machine learning algorithms on this dataset: classification and regression.

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