%0 Conference Proceedings
%4 sid.inpe.br/mtc-m18/2013/12.10.18.29
%2 sid.inpe.br/mtc-m18/2013/12.10.18.29.41
%@issn 2179-4820
%T Towards semantic trajectory outlier detection
%D 2013
%A Aquino, Artur Ribeiro de,
%A Alvares, Luis Otavio,
%A Renso, Chiara,
%A Bogorny, Vania,
%@affiliation Universidade Federal de Santa Catarina (UFSC)
%@affiliation Universidade Federal de Santa Catarina (UFSC)
%@affiliation KDD Lab
%@affiliation Universidade Federal de Santa Catarina (UFSC)
%E Andrade, Pedro Ribeiro,
%E Santanchè, André,
%B Simpósio Brasileiro de Geoinformática, 14 (GEOINFO).
%C Campos do Jordão
%8 24-27 nov. 2013
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 12
%S Anais
%X Only a few works in trajectory data mining have focused on outlier detection, and to the best of our knowledge, no works so far have made a deeper analysis to either understand or to give a meaning to the outliers. In this paper we present an algorithm to add meaning to trajectory outliers considering three main possible reasons for a detour: stops outside the standard route, events, and traffic jams in the standard path. We show with experiments on real data that the method correctly finds the different types of outliers.
%@language en
%3 paper12.pdf