Abstract
With the development and popularity of various location technologies (GPS, Wireless cellular networks and etc.), people can easily access the location information of moving objects and use a variety of location-based services. In this paper, based on the feature that the location information of moving object is consecutive, we introduce the continuity in temporal and spatial as a constraint into the Sequential Pattern Mining algorithm GSP (Generalized Sequential Patterns) [3,4], and to mine frequent trajectories, and then display them in Google maps. We evaluated our method by using a large GPS dataset in real world and verified the feasibility and effectiveness of Sequential Pattern Mining algorithm in mining the frequent trajectories of multiple moving objects.
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Li, J., Wang, J., Yu, L., Zhang, J. (2011). A Novel Frequent Trajectory Mining Method Based on GSP. In: Gong, Z., Luo, X., Chen, J., Lei, J., Wang, F.L. (eds) Web Information Systems and Mining. WISM 2011. Lecture Notes in Computer Science, vol 6987. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23971-7_19
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DOI: https://doi.org/10.1007/978-3-642-23971-7_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23970-0
Online ISBN: 978-3-642-23971-7
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