SECC: simultaneous extraction of context and community from pervasive signals

Thuong Nguyen, Vu Nguyen, Flora D. Salim, Dinh Phung

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

7 Citations (Scopus)


Understanding user contexts and group structures plays a central role in pervasive computing. These contexts and community structures are complex to mine from data collected in the wild due to the unprecedented growth of data, noise, uncertainties and complexities. Typical existing approaches would first extract the latent patterns to explain the human dynamics or behaviors and then use them as the way to consistently formulate numerical representations for community detection, often via a clustering method. While being able to capture highorder and complex representations, these two steps are performed separately. More importantly, they face a fundamental difficulty in determining the correct number of latent patterns and communities. This paper presents an approach that seamlessly addresses these challenges to simultaneously discover latent patterns and communities in a unified Bayesian nonparametric framework. Our Simultaneous Extraction of Context and Community (SECC) model roots in the nested Dirichlet process theory which allows nested structure to be built to explain data at multiple levels. We demonstrate our framework on three public datasets where the advantages of the proposed approach are validated.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Pervasive Computing and Communications (PerCom 2016)
EditorsChristian Becker, Frank Durr, Jamie Payton, Daniele Riboni
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages9
ISBN (Electronic)9781467387798, 9781467387781
Publication statusPublished - 2016
Externally publishedYes
EventIEEE International Conference on Pervasive Computing and Communications 2016 - Sydney, Australia
Duration: 14 Mar 201618 Mar 2016
Conference number: 14th (Proceedings)


ConferenceIEEE International Conference on Pervasive Computing and Communications 2016
Abbreviated titlePerCom 2016
Internet address

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