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» Towards Burst Detection for Non-Stationary Stream Data
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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
ICDE
2006
IEEE
167views Database» more  ICDE 2006»
14 years 6 months ago
Better Burst Detection
A burst is a large number of events occurring within a certain time window. As an unusual activity, it's a noteworthy phenomenon in many natural and social processes. Many da...
Xin Zhang, Dennis Shasha
ICMCS
2006
IEEE
91views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Detecting Changes in User-Centered Music Query Streams
In this paper, we propose an efficient algorithm, called MQSchange (changes of Music Query Streams), to detect the changes of maximal melody structures in user-centered music quer...
Hua-Fu Li, Man-Kwan Shan, Suh-Yin Lee
SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
11 years 7 months ago
Density-based Projected Clustering over High Dimensional Data Streams
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...
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