Abstract
We show that the Needleman-Wunsch algorithm for sequence alignment can be efficiently applied to comparing user trajectories, where user locations are provided by Global positioning system (GPS). We compare our approach based on this algorithm with other approaches such as the pairwise method and the proximity method. We describe all steps necessary to apply the Needleman-Wunsch algorithm when comparing user trajectories. In our experiments we use two different data sets: a data set that we collected with 455 mobile devices distributed among our students and the Geolife data set (Microsoft Research Asia). We conclude that our approach based on the Needleman-Wunsch algorithm performs better than other approaches, especially, in terms of true negatives, false positives and false negatives, while still offering improvement in terms of true positives.
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Acknowledgment
The authors were supported by the project “STU ako líder Digitálnej koalície”, project no. 002STU-2-1/2018, financed by Ministry of Education, Science, Research and Sport of the Slovak Republic. Maroš Čavojský also thankfully acknowledges a conference grant received from MAIND, s.r.o.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Čavojský, M., Drozda, M. (2019). Comparison of User Trajectories with the Needleman-Wunsch Algorithm. In: Yin, Y., Li, Y., Gao, H., Zhang, J. (eds) Mobile Computing, Applications, and Services. MobiCASE 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 290. Springer, Cham. https://doi.org/10.1007/978-3-030-28468-8_11
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