@inproceedings{8ba58ba253a94711934750de8c02ce4e,
title = "Discovering regular groups of mobile objects using incremental clustering",
abstract = "As technology advances, detailed data on the position of moving objects, such as humans and vehicles is available. In order to discover groups of mobile objects that usually move in similar ways we propose an incremental clustering algorithm that clusters mobile objects according to similarity of their movement patterns. The proposed clustering algorithm uses a new, {"}data-amount- based{"} similarity measure between mobile trajectories. The clustering algorithm is evaluated on two spatio-temporal datasets using clustering validity measures.",
keywords = "Clustering, Mobile objects, Spatio-temporal data mining",
author = "Sigal Elnekave and Mark Last and Oded Maimon and Yehuda Ben-Shimol and Hans Einsiedler and Menahem Friedman and Matthias Siebert",
year = "2008",
month = sep,
day = "15",
doi = "10.1109/WPNC.2008.4510375",
language = "English",
isbn = "9781424417995",
series = "5th Workshop on Positioning, Navigation and Communication 2008, WPNC'08",
pages = "197--205",
booktitle = "5th Workshop on Positioning, Navigation and Communication 2008, WPNC'08",
note = "5th Workshop on Positioning, Navigation and Communication 2008, WPNC'08 ; Conference date: 27-03-2008 Through 27-03-2008",
}