Identifying recent behavioral data length in mobile phone log

Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han

Research output: Book chapter/Published conference paperConference paper

2 Citations (Scopus)

Abstract

Mobile phone log data (e.g., phone call log) is not static as it is progressively added to day-by-day according to individual’s diverse behaviors with mobile phones. Since human behavior changes over time, the most recent pattern is more interesting and significant than older ones for predicting individual’s behavior. The goal of this poster paper is to identify the recent behavioral data length dynamically from the entire phone log for recency-based behavior modeling. To the best of our knowledge, this is the first dynamic recent log-based study that takes into account individual’s recent behavioral patterns for modeling their phone call behaviors.
Original languageEnglish
Title of host publicationProceedings of MobiQuitous 2017
Subtitle of host publication14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
EditorsTao Gu, Ramamohanarao Kotagiri, Dali Kaafar, Gang Zhou
PublisherAssociation for Computing Machinery (ACM)
Pages1-2
Number of pages2
ISBN (Electronic)9781450353687
DOIs
Publication statusPublished - 18 Apr 2018
EventMobiQuitous 2017 - 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services - RMIT University Storey Hall, Melbourne, Australia
Duration: 07 Nov 201710 Nov 2017
http://mobiquitous.eai-conferences.org/ (Conference website)

Conference

ConferenceMobiQuitous 2017 - 14th EAI International Conference on Mobile and Ubiquitous Systems
CountryAustralia
CityMelbourne
Period07/11/1710/11/17
OtherThe fourteenth Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2017) aims to provide a forum for presenting and discussing top-notch quality research. MobiQuitous 2017 fosters research collaboration through focused discussions, interaction and exchange of experiences that will designate future research efforts and open new leading directions for innovation and cutting-edge technologies. Areas addressed by the conference include the intersection of mobile and ubiquitous computing systems with social networks, Internet of things, middleware, networking, data management and services, domain-specific applications, user behaviour, models and algorithms.
Internet address

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  • Cite this

    Sarker, I. H., Kabir, M. A., Colman, A., & Han, J. (2018). Identifying recent behavioral data length in mobile phone log. In T. Gu, R. Kotagiri, D. Kaafar, & G. Zhou (Eds.), Proceedings of MobiQuitous 2017: 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (pp. 1-2). Association for Computing Machinery (ACM). https://doi.org/10.4108/eai.7-11-2017.2275019