Identifying Anomalous Social Contexts from Mobile Proximity Data Using Binomial Mixture Models

Reference:

Eric Malmi, Juha Raitio, Oskar Kohonen, Krista Lagus, and Timo Honkela. Identifying anomalous social contexts from mobile proximity data using binomial mixture models. In Jaakko Hollmén, Frank Klawonn, and Allan Tucker, editors, Advances in Intelligent Data Analysis XI, volume 7619 of Lecture Notes in Computer Science, pages 195–206, Helsinki, Finland, 2012. Springer Berlin Heidelberg.

Keywords:

anomaly detection; social context; mobile proximity data; mixture models

Suggested BibTeX entry:

@inproceedings{malmiraitiookohonenlagushonkela_2012,
    address = {Helsinki, Finland},
    author = {Eric Malmi and Juha Raitio and Oskar Kohonen and Krista Lagus and Timo Honkela},
    booktitle = {Advances in Intelligent Data Analysis XI},
    editor = {Hollm\'{e}n, Jaakko and Klawonn, Frank and Tucker, Allan},
    language = {eng},
    pages = {195-206},
    publisher = {Springer Berlin Heidelberg},
    series = {Lecture Notes in Computer Science},
    title = {Identifying Anomalous Social Contexts from Mobile Proximity Data Using Binomial Mixture Models},
    volume = {7619},
    year = {2012},
}