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BEGIN:VEVENT
UID:34@lincs.fr
DTSTART;TZID=Europe/Paris:20161130T140000
DTEND;TZID=Europe/Paris:20161130T150000
DTSTAMP:20170313T170810Z
URL:https://www.lincs.fr/events/variable-neighborhood-prediction-of-tempor
 al-collective-profiles-in-web-services-usage/
SUMMARY:Variable neighborhood prediction of temporal collective profiles in
 web services usage
DESCRIPTION:Temporal collective profiles generated by mobile network users
 can be used to predict network usage\, which in turn can be used to improve
 the performance of the network to meet user demands. This presentation will
 talk about a prediction method of temporal collective profiles which is
 suitable for online network management. Using weighted graph
 representation\, the target sample is observed during a given period to
 determine a set of neighboring profiles that are considered to behave
 similarly enough. The prediction of the target profile is based on the
 weighted average of its neighbors\, where the optimal number of neighbors
 are selected through a form of variable neighborhood search. This method is
 applied to two datasets\, one provided by a mobile network service provider
 and the other from a Wi-Fi service provider. The proposed prediction method
 can conveniently characterize user behavior via graph representation\,
 while outperforming existing prediction methods. Also\, unlike existing
 methods that utilize categorization\, it has a low computational
 complexity\, which makes it suitable for online network analysis.
CATEGORIES:Seminars
LOCATION:LINCS Meeting Room 40\, 23\, avenue d'Italie\, Paris\, 75013\,
 France
GEO:48.8283983;2.3568972000000485
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 Paris\, 75013\, France;X-APPLE-RADIUS=100;X-TITLE=LINCS Meeting Room
 40:geo:48.8283983,2.3568972000000485
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
BEGIN:STANDARD
DTSTART:20161030T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
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END:VTIMEZONE
END:VCALENDAR