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» Spectrum based fraud detection in social networks
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ICASSP
2011
IEEE
12 years 11 months ago
Online anomaly detection with expert system feedback in social networks
In this paper, we propose examining the participants in various meetings or communications within a social network, and using sequential inference based on these participant lists...
Corinne Horn, Rebecca Willett
VLDB
2005
ACM
153views Database» more  VLDB 2005»
14 years 7 months ago
An effective and efficient algorithm for high-dimensional outlier detection
Abstract. The outlier detection problem has important applications in the field of fraud detection, network robustness analysis, and intrusion detection. Most such applications are...
Charu C. Aggarwal, Philip S. Yu
VTC
2010
IEEE
233views Communications» more  VTC 2010»
13 years 6 months ago
Quantization and Transmission of the Energy Measures for Cooperative Spectrum Sensing
— We consider the sensing of the frequency spectrum based on energy detection for cognitive radios. It has been shown that the reliability of the sensing can be improved by using...
Olivier van den Biggelaar, Jean-Michel Dricot, Phi...
ICDM
2008
IEEE
118views Data Mining» more  ICDM 2008»
14 years 2 months ago
Dirichlet Process Based Evolutionary Clustering
Evolutionary Clustering has emerged as an important research topic in recent literature of data mining, and solutions to this problem have found a wide spectrum of applications, p...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
CISS
2008
IEEE
13 years 7 months ago
Detection of anomalous meetings in a social network
Abstract-- When monitoring interactions within a social network, meetings or contacts between different members of the network are recorded. This paper addresses the problem of usi...
Jorge Silva, Rebecca Willett