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PKDD
2005
Springer
101views Data Mining» more  PKDD 2005»
15 years 11 months ago
A Random Method for Quantifying Changing Distributions in Data Streams
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
Haixun Wang, Jian Pei
ICS
2004
Tsinghua U.
15 years 11 months ago
Effective stream-based and execution-based data prefetching
With processor speeds continuing to outpace the memory subsystem, cache missing memory operations continue to become increasingly important to application performance. In response...
Sorin Iacobovici, Lawrence Spracklen, Sudarshan Ka...
COLING
2010
15 years 25 days ago
A Cross-lingual Annotation Projection Approach for Relation Detection
While extensive studies on relation extraction have been conducted in the last decade, statistical systems based on supervised learning are still limited because they require larg...
Seokhwan Kim, Minwoo Jeong, Jonghoon Lee, Gary Geu...
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
16 years 18 days ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 6 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill