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WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
14 years 2 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
SOUPS
2010
ACM
15 years 10 months ago
On the impact of real-time feedback on users' behaviour in mobile location-sharing applications
Effective privacy management requires that mobile systems‟ users be able to make informed privacy decisions as their experience and knowledge of a system progresses. Prior work ...
Lukasz Jedrzejczyk, Blaine A. Price, Arosha K. Ban...
ISCI
2006
58views more  ISCI 2006»
15 years 6 months ago
Streaming data reduction using low-memory factored representations
Many special purpose algorithms exist for extracting information from streaming data. Constraints are imposed on the total memory and on the average processing time per data item....
David Littau, Daniel Boley
ESWA
2008
119views more  ESWA 2008»
15 years 6 months ago
Incremental clustering of mixed data based on distance hierarchy
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
Chung-Chian Hsu, Yan-Ping Huang
JPDC
2006
81views more  JPDC 2006»
15 years 6 months ago
Implications of virtualization on Grids for high energy physics applications
The simulations used in the field of high energy physics are compute intensive and exhibit a high level of data parallelism. These features make such simulations ideal candidates ...
Laura Gilbert, Jeff Tseng, Rhys Newman, Saeed Iqba...