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KDD
2012
ACM
263views Data Mining» more  KDD 2012»
11 years 10 months ago
Integrating community matching and outlier detection for mining evolutionary community outliers
Temporal datasets, in which data evolves continuously, exist in a wide variety of applications, and identifying anomalous or outlying objects from temporal datasets is an importan...
Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han
DIALM
2010
ACM
194views Algorithms» more  DIALM 2010»
13 years 5 months ago
Prioritized gossip in vehicular networks
We present a method for using real world mobility traces to identify tractable theoretical models for the study of distributed algorithms in mobile networks. We validate the metho...
Alejandro Cornejo, Calvin C. Newport
TIP
2010
107views more  TIP 2010»
13 years 2 months ago
Risk-Distortion Analysis for Video Collusion Attacks: A Mouse-and-Cat Game
Copyright protection is a key issue for video sharing over public networks. To protect the video content from unauthorized redistribution, digital fingerprinting is commonly used. ...
Yan Chen, W. Sabrina Lin, K. J. Ray Liu
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 8 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
14 years 8 months ago
Detecting anomalous records in categorical datasets
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
Kaustav Das, Jeff G. Schneider