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KDD
2008
ACM
186views Data Mining» more  KDD 2008»
14 years 5 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
14 years 5 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
IPSN
2010
Springer
13 years 7 months ago
Real-time burst event detection in water distribution systems
tract: Real-time Burst Event Detection in Water Distribution Systems Seshan Srirangarajan 1 , Mudasser Iqbal 1 , Michael Allen 2 , Ami Preis 2 , Cheng Fu 1 , Lewis Girod 3 , Kai-Ju...
Seshan Srirangarajan, Mudasser Iqbal, Michael Alle...
ICDM
2007
IEEE
301views Data Mining» more  ICDM 2007»
13 years 9 months ago
Stream Event Detection: A Unified Framework for Mining Outlier, Change and Burst Simultaneously over Data Stream
Event detection is one of the most important issues of event processing system, especially Complex Event Processing (CEP). Outlier event, change event and burst event are three ty...
Zhijian Yuan, Kai Du, Yan Jia, Jiajia Miao
DATE
2005
IEEE
87views Hardware» more  DATE 2005»
13 years 11 months ago
Concurrent Error Detection in Asynchronous Burst-Mode Controllers
We discuss the problem of Concurrent Error Detection (CED) in a popular class of asynchronous controllers, namely Burst-Mode machines. We first outline the particularities of the...
Sobeeh Almukhaizim, Yiorgos Makris