Efficient elastic burst detection in data streams

By Yunyue Zhu, Dennis E. Shasha. Knowledge Discovery and Data Mining, 2003

314 citations recorded by the source corpus.

How researchers see this paper

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Identifying similarities, periodicities and bursts for online search queries (2004, methodology): “[17] Y. Zhu and D. Shasha.”
Outlier Detection for Temporal Data: A Survey (2014, methodology): “[101] detect high gamma ray bursts from Milagro Gamma Ray data stream.”
Rise and fall patterns of information diffusion: model and implications (2012, methodology): “[42] Y. Zhu and D. Shasha.”
Distributed data stream processing and edge computing: A survey on resource elasticity and future directions (2017, background): “For instance, Zhu and Shasha [100] introduce a shifted wavelet tree data structure for detecting bursts”
Streaming Pattern Discovery in Multiple Time-Series (2005, background): “Trondheim, Norway, 2005 networking, systems), due to several important applications, such as network analysis [11], sensor network monitoring [38], moving object tracking [2], financial data analysis [41], and scientific data processing [42].”