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KAIS
2008
150views more  KAIS 2008»
13 years 4 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
DEBS
2007
ACM
13 years 8 months ago
High frequency distributed data stream event correlation to improve neonatal clinical management
Approximately eighteen percent (18%) of babies born in New South Wales (NSW), Australia require special care or neonatal intensive care admission. Premature babies can be up to 17...
Carolyn McGregor, Michael Stacey
ICDE
2006
IEEE
167views Database» more  ICDE 2006»
14 years 6 months ago
Better Burst Detection
A burst is a large number of events occurring within a certain time window. As an unusual activity, it's a noteworthy phenomenon in many natural and social processes. Many da...
Xin Zhang, Dennis Shasha
SIGMOD
2006
ACM
150views Database» more  SIGMOD 2006»
14 years 5 months ago
On-the-fly sharing for streamed aggregation
Data streaming systems are becoming essential for monitoring applications such as financial analysis and network intrusion detection. These systems often have to process many simi...
Sailesh Krishnamurthy, Chung Wu, Michael J. Frankl...
SIGMOD
2003
ACM
196views Database» more  SIGMOD 2003»
14 years 5 months ago
Aurora: A Data Stream Management System
The Aurora system [1] is an experimental data stream management system with a fully functional prototype. It includes both a graphical development environment, and a runtime syste...
Daniel J. Abadi, Donald Carney, Ugur Çetint...