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KDD
2003
ACM
192views Data Mining» more  KDD 2003»
16 years 4 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
CG
2008
Springer
15 years 3 months ago
Parallel reflective symmetry transformation for volume data
Many volume data possess symmetric features that can be clearly observed, for example, those existing in diffusion tensor image data sets. The exploitations of symmetries for volu...
Yuan Hong, Han-Wei Shen
INFOCOM
2006
IEEE
15 years 10 months ago
Reverse Hashing for High-Speed Network Monitoring: Algorithms, Evaluation, and Applications
— A key function for network traffic monitoring and analysis is the ability to perform aggregate queries over multiple data streams. Change detection is an important primitive w...
Robert T. Schweller, Zhichun Li, Yan Chen, Yan Gao...
SIGOPS
2010
162views more  SIGOPS 2010»
15 years 2 months ago
Visual and algorithmic tooling for system trace analysis: a case study
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
Wim De Pauw, Steve Heisig
ICDE
2004
IEEE
125views Database» more  ICDE 2004»
16 years 5 months ago
Range CUBE: Efficient Cube Computation by Exploiting Data Correlation
Data cube computation and representation are prohibitively expensive in terms of time and space. Prior work has focused on either reducing the computation time or condensing the r...
Ying Feng, Divyakant Agrawal, Amr El Abbadi, Ahmed...