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KAIS
2006
77views more  KAIS 2006»
14 years 9 months ago
Finding centric local outliers in categorical/numerical spaces
Outlier detection techniques are widely used in many applications such as credit card fraud detection, monitoring criminal activities in electronic commerce, etc. These application...
Jeffrey Xu Yu, Weining Qian, Hongjun Lu, Aoying Zh...
TCSV
2008
139views more  TCSV 2008»
14 years 9 months ago
Trajectory-Based Anomalous Event Detection
Abstract--During the last years, the task of automatic event analysis in video sequences has gained an increasing attention among the research community. The application domains ar...
Claudio Piciarelli, Christian Micheloni, Gian Luca...
JSA
2007
100views more  JSA 2007»
14 years 9 months ago
Resource consumption-aware QoS in cluster-based VOD servers
For Video-On-Demand (VOD) systems, it is important to provide Quality of Service (QoS) to more clients under limited resources. In this paper, the performance scalability in clust...
Dongmahn Seo, Joahyoung Lee, Yoon Kim, Changyeol C...
DPD
2002
125views more  DPD 2002»
14 years 9 months ago
Parallel Mining of Outliers in Large Database
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
Edward Hung, David Wai-Lok Cheung
ML
2000
ACM
157views Machine Learning» more  ML 2000»
14 years 9 months ago
A Multistrategy Approach to Classifier Learning from Time Series
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
William H. Hsu, Sylvian R. Ray, David C. Wilkins