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ICEBE
2005
IEEE
168views Business» more  ICEBE 2005»
14 years 2 months ago
Frequency Operators for Condensative Queries over Data Streams
Over a traditional Database Management System (DBMS), the answer to an aggregate query is usually much smaller than the answer to a similar nonaggregate query. Therefore, we call ...
Lisha Ma, Werner Nutt
SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
14 years 8 months ago
Sampling time-based sliding windows in bounded space
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
Rainer Gemulla, Wolfgang Lehner
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
14 years 9 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
ISCI
2006
145views more  ISCI 2006»
13 years 8 months ago
Processing count queries over event streams at multiple time granularities
Management and analysis of streaming data has become crucial with its applications in web, sensor data, network traffic data, and stock market. Data streams consist of mostly nume...
Aykut Ünal, Yücel Saygin, Özgü...
ICDE
2006
IEEE
156views Database» more  ICDE 2006»
14 years 10 months ago
What's Different: Distributed, Continuous Monitoring of Duplicate-Resilient Aggregates on Data Streams
Emerging applications in sensor systems and network-wide IP traffic analysis present many technical challenges. They need distributed monitoring and continuous tracking of events....
Graham Cormode, S. Muthukrishnan, Wei Zhuang