Recognition of periodic behavioral patterns from streaming mobility data

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    Abstract

    Ubiquitous location-aware sensing devices have facilitated collection of large volumes of mobility data streams from moving entities such as people and animals, among others. Extraction of various types of periodic behavioral patterns hidden in such large volume of mobility data helps in understanding the dynamics of activities, interactions, and life style of these moving entities. The ever-increasing growth in the volume and dimensionality of such Big Data on the one hand, and the resource constraints of the sensing devices on the other hand, have made not only high pattern recognition accuracy but also low complexity, low resource consumption, and real-timeness important requirements for recognition of patterns from mobility data. In this paper, we propose a method for extracting periodic behavioral patterns from streaming mobility data which fulfills all these requirements. Our experimental results on both synthetic and real data sets confirm superiority of our method compared with existing techniques.
    Original languageEnglish
    Title of host publicationMobile and Ubiquitous Systems: Computing, Networking, and Services
    Subtitle of host publication10th International Conference, MOBIQUITOUS 2013, Tokyo, Japan, December 2-4, 2013, Revised Selected Papers
    EditorsIvan Stojmenovic, Zixue Cheng, Song Guo
    Place of PublicationBerlin
    PublisherSpringer
    Pages102-115
    Number of pages12
    ISBN (Electronic)978-3-319-11569-6
    ISBN (Print)978-3-319-11568-9
    DOIs
    Publication statusPublished - 2014
    Event10th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services - Tokyo, Japan
    Duration: 2 Dec 20134 Dec 2013
    Conference number: 10
    http://archive.mobiquitous.org/2013/show/home

    Publication series

    Name Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
    Volume131

    Conference

    Conference10th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
    Abbreviated titleMobiQuitous 2013
    CountryJapan
    CityTokyo
    Period2/12/134/12/13
    Internet address

    Keywords

    • EWI-24283
    • METIS-302629
    • IR-89317
    • DB-DM: DATA MINING

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