ARAVQ for discretization of radar data: An experimental study on real world sensor data
Independent thesis Basic level (degree of Bachelor), 15 credits / 22,5 HE creditsStudent thesis
The aim of this work was to investigate if interesting patterns could be found in time series radar data that had been discretized by the algorithm ARAVQ into symbolic representations and if the ARAVQ thus might be suitable for use in the radar domain.
An experimental study was performed where the ARAVQ was used to create symbolic representations of data sets with radar data. Two experiments were carried out that used a Markov model to calculate probabilities used for discovering potentially interesting patterns. Some of the most interesting patterns were then investigated further.
Results have shown that the ARAVQ was able to create accurate representations for several time series and that it was possible to discover patterns that were interesting and represented higher level concepts. However, the results also showed that the ARAVQ was not able to create accurate representations for some of the time series.
Place, publisher, year, edition, pages
2015. , 48 p.
ARAVQ, radar data, multidimensional time series, clustering, Markov chain model
IdentifiersURN: urn:nbn:se:his:diva-11114OAI: oai:DiVA.org:his-11114DiVA: diva2:821072
Subject / course
Computer Science - Specialization in Systems Development