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» Applications of a Color-Naming Database
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KDD
2003
ACM
155views Data Mining» more  KDD 2003»
16 years 7 months ago
Graph-based anomaly detection
Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A ...
Caleb C. Noble, Diane J. Cook
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
16 years 7 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha
SIGMOD
2007
ACM
114views Database» more  SIGMOD 2007»
16 years 7 months ago
Managing information quality in e-science: the qurator workbench
Data-intensive e-science applications often rely on third-party data found in public repositories, whose quality is largely unknown. Although scientists are aware that this uncert...
Alun D. Preece, Binling Jin, Paolo Missier, R. Mar...
SIGMOD
2006
ACM
116views Database» more  SIGMOD 2006»
16 years 7 months ago
Approximately detecting duplicates for streaming data using stable bloom filters
Traditional duplicate elimination techniques are not applicable to many data stream applications. In general, precisely eliminating duplicates in an unbounded data stream is not f...
Fan Deng, Davood Rafiei
SIGMOD
2005
ACM
135views Database» more  SIGMOD 2005»
16 years 7 months ago
Mining data streams: a review
The recent advances in hardware and software have enabled the capture of different measurements of data in a wide range of fields. These measurements are generated continuously an...
Mohamed Medhat Gaber, Arkady B. Zaslavsky, Shonali...