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PAKDD
2011
ACM
209views Data Mining» more  PAKDD 2011»
14 years 5 months ago
Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation
Abstract. Given a graph with billions of nodes and edges, how can we find patterns and anomalies? Are there nodes that participate in too many or too few triangles? Are there clos...
U. Kang, Brendan Meeder, Christos Faloutsos
MDM
2009
Springer
299views Communications» more  MDM 2009»
15 years 9 months ago
Aggregate Location Monitoring for Wireless Sensor Networks: A Histogram-Based Approach
Location monitoring systems are used to detect human activities and provide monitoring services, e.g., aggregate queries. In this paper, we consider an aggregate location monitori...
Chi-Yin Chow, Mohamed F. Mokbel, Tian He
SDM
2011
SIAM
230views Data Mining» more  SDM 2011»
14 years 5 months ago
Multidimensional Association Rules in Boolean Tensors
Popular data mining methods support knowledge discovery from patterns that hold in binary relations. We study the generalization of association rule mining within arbitrary n-ary ...
Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, J...
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
13 years 10 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
TOG
2012
221views Communications» more  TOG 2012»
13 years 4 months ago
Gabor noise by example
Procedural noise is a fundamental tool in Computer Graphics. However, designing noise patterns is hard. In this paper, we present Gabor noise by example, a method to estimate the ...
Bruno Galerne, Ares Lagae, Sylvain Lefebvre, Georg...
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