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Activity-based mobility profiling: a purely temporal modeling approach


Ghosh, Shreya; Ghosh, Soumya K; Das, Rahul Deb; Winter, Stephan (2018). Activity-based mobility profiling: a purely temporal modeling approach. In: The Web Conference (WWW 2018), Lyon, 23 April 2018 - 27 April 2018. ACM Digital Library, 409-416.

Abstract

Several studies have shown that the spatio-temporal mobility traces of human movements can be used to identify an individual. However, this work presents a novel framework for activity-based mobility profiling of individuals using only the temporal information. The proposed framework is conducive to model individuals’ activity patterns in temporal scale, and quantifies the uniqueness measures based on certain temporal features of the activity sequence.

Abstract

Several studies have shown that the spatio-temporal mobility traces of human movements can be used to identify an individual. However, this work presents a novel framework for activity-based mobility profiling of individuals using only the temporal information. The proposed framework is conducive to model individuals’ activity patterns in temporal scale, and quantifies the uniqueness measures based on certain temporal features of the activity sequence.

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10 citations in Scopus®
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Additional indexing

Item Type:Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Scopus Subject Areas:Physical Sciences > Computer Networks and Communications
Physical Sciences > Software
Language:English
Event End Date:27 April 2018
Deposited On:18 Jan 2019 12:14
Last Modified:26 Jan 2022 20:02
Publisher:ACM Digital Library
ISBN:978-1-4503-5640-4
Additional Information:WWW '18 Companion Proceedings of the The Web Conference 2018
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1145/3184558.3186356
  • Content: Published Version
  • Language: English