Publication

A model-based back-end for air quality data management

Karl Aberer, Julien Eberle
2013
Conference Papers

Abstract

In this paper we present a hybrid model for real-time query processing over data stream collected by mobile air quality sensors. First, we introduce a novel indexing scheme for representing air quality and use it for generating and evaluating a static model over a yearly dataset. Then, this model is combined with a dynamic nearest-neighbor approach for real-time updates, and implemented into the Global Sensor Network (GSN) middleware, with added support for model queries.

Official source

https://infoscience.epfl.ch/entities/publication/c0a466e2-4c10-4d7a-8c05-a592d5fd3ae5

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A model-based back-end for air quality data management

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