Articles producció científica> Enginyeria Informàtica i Matemàtiques

Regions-of-interest discovering and predicting in smartphone environments

  • Identification data

    Identifier: imarina:5925870
  • Authors:

    Al-Molegi, Abdulrahman
    Alsmadi, Izzat
    Martinez-Balleste, Antoni
  • Others:

    Author, as appears in the article.: Al-Molegi, Abdulrahman; Alsmadi, Izzat; Martinez-Balleste, Antoni;
    Department: Enginyeria Informàtica i Matemàtiques
    URV's Author/s: Martínez Ballesté, Antoni
    Keywords: Regions-of-interest discovering People movement Markov chain Location-based services Location prediction
    Abstract: Abstract Location-Based Services (LBSs) provide users especially in smartphones with information and services based on their location and interests. Predicting people’s next location could help in improving the quality of such services and, in turn, boosting people’s confidence on those services. Any successful LBS algorithm or model should target three major goals: Location prediction accuracy, high throughput or fast response and efficiency in terms of utilizing smartphone resources. This paper proposes a new approach to discover and predict people’s next location based on their mobility patterns, while being computationally efficient. The approach starts by discovering Regions-of-Interest (RoIs) in people’s historical trajectories (which denote the locations where users have been previously, frequently). A new model based on Markov Chain (MC) is proposed to overcome the drawback of classical MC. Our …
    Thematic Areas: Telecommunications Software Information systems Hardware and architecture Computer science, information systems Computer science applications Computer science (miscellaneous) Computer networks and communications Ciência da computação Applied mathematics
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: antoni.martinez@urv.cat
    Author identifier: 0000-0002-1787-7410
    Record's date: 2023-02-22
    Papper version: info:eu-repo/semantics/acceptedVersion
    Link to the original source: https://www.sciencedirect.com/science/article/abs/pii/S1574119217303632?via%3Dihub
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Pervasive And Mobile Computing. 47 31-53
    APA: Al-Molegi, Abdulrahman; Alsmadi, Izzat; Martinez-Balleste, Antoni; (2018). Regions-of-interest discovering and predicting in smartphone environments. Pervasive And Mobile Computing, 47(), 31-53. DOI: 10.1016/j.pmcj.2018.05.001
    Article's DOI: 10.1016/j.pmcj.2018.05.001
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2018
    Publication Type: Journal Publications
  • Keywords:

    Applied Mathematics,Computer Networks and Communications,Computer Science (Miscellaneous),Computer Science Applications,Computer Science, Information Systems,Hardware and Architecture,Information Systems,Software,Telecommunications
    Regions-of-interest discovering
    People movement
    Markov chain
    Location-based services
    Location prediction
    Telecommunications
    Software
    Information systems
    Hardware and architecture
    Computer science, information systems
    Computer science applications
    Computer science (miscellaneous)
    Computer networks and communications
    Ciência da computação
    Applied mathematics
  • Documents:

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