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SIGMOD
2007
ACM
164views Database» more  SIGMOD 2007»
16 years 6 months ago
Fast data stream algorithms using associative memories
The primary goal of data stream research is to develop space and time efficient solutions for answering continuous online summarization queries. Research efforts over the last dec...
Nagender Bandi, Ahmed Metwally, Divyakant Agrawal,...
SIGMOD
2003
ACM
193views Database» more  SIGMOD 2003»
16 years 6 months ago
Chain : Operator Scheduling for Memory Minimization in Data Stream Systems
In many applications involving continuous data streams, data arrival is bursty and data rate fluctuates over time. Systems that seek to give rapid or real-time query responses in ...
Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev ...
SIGMOD
2001
ACM
171views Database» more  SIGMOD 2001»
16 years 6 months ago
Fast-Start: Quick Fault Recovery in Oracle
Availability requirements for database systems are more stringent than ever before with the widespread use of databases as the foundation for ebusiness. This paper highlights Fast...
Tirthankar Lahiri, Amit Ganesh, Ron Weiss, Ashok J...
EDBT
2004
ACM
110views Database» more  EDBT 2004»
16 years 6 months ago
Using Convolution to Mine Obscure Periodic Patterns in One Pass
The mining of periodic patterns in time series databases is an interesting data mining problem that can be envisioned as a tool for forecasting and predicting the future behavior o...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
EDBT
2004
ACM
94views Database» more  EDBT 2004»
16 years 6 months ago
Mining Extremely Skewed Trading Anomalies
Trading surveillance systems screen and detect anomalous trades of equity, bonds, mortgage certificates among others. This is to satisfy federal trading regulations as well as to p...
Wei Fan, Philip S. Yu, Haixun Wang
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