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DKE
2007
95views more  DKE 2007»
13 years 9 months ago
Warping the time on data streams
Continuously monitoring through time the correlation/distance of multiple data streams is of interest in a variety of applications, including financial analysis, video surveillanc...
Paolo Capitani, Paolo Ciaccia
ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
14 years 1 months ago
Sequential Change Detection on Data Streams
Model-based declarative queries are becoming an attractive paradigm for interacting with many data stream applications. This has led to the development of techniques to accurately...
S. Muthukrishnan, Eric van den Berg, Yihua Wu
PKDD
2005
Springer
101views Data Mining» more  PKDD 2005»
14 years 2 months ago
A Random Method for Quantifying Changing Distributions in Data Streams
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
Haixun Wang, Jian Pei
DASFAA
2005
IEEE
157views Database» more  DASFAA 2005»
14 years 2 months ago
Adaptively Detecting Aggregation Bursts in Data Streams
Finding bursts in data streams is attracting much attention in research community due to its broad applications. Existing burst detection methods suffer the problems that 1) the p...
Aoying Zhou, Shouke Qin, Weining Qian
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 9 months ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal