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» Mobility-based anomaly detection in cellular mobile networks
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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 6 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
JCB
2006
125views more  JCB 2006»
13 years 6 months ago
Hypothesis Generation in Signaling Networks
Biological signaling networks comprise the chemical processes by which cells detect and respond to changes in their environment. Such networks have been implicated in the regulati...
Derek A. Ruths, Luay Nakhleh, M. Sriram Iyengar, S...
MOBICOM
1996
ACM
13 years 10 months ago
Building Reliable Mobile-Aware Applications Using the Rover Toolkit
This paper discusses extensions to the Rover toolkit for constructing reliable mobile-aware applications. The extensions improve upon the existing failure model, which only addres...
Anthony D. Joseph, M. Frans Kaashoek
MASS
2010
157views Communications» more  MASS 2010»
13 years 4 months ago
Spatial extension of the Reality Mining Dataset
Data captured from a live cellular network with the real users during their common daily routine help to understand how the users move within the network. Unlike the simulations wi...
Michal Ficek, Lukas Kencl
CCS
2010
ACM
13 years 6 months ago
PinDr0p: using single-ended audio features to determine call provenance
The recent diversification of telephony infrastructure allows users to communicate through landlines, mobile phones and VoIP phones. However, call metadata such as Caller-ID is ei...
Vijay A. Balasubramaniyan, Aamir Poonawalla, Musta...