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» Data streams: algorithms and applications
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DKE
2007
95views more  DKE 2007»
15 years 7 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
FSTTCS
2007
Springer
15 years 10 months ago
Efficient and Expressive Tree Filters
Abstract. We investigate streaming evaluation of filters on XML documents, evaluated both at the root node and at an arbitrary node. Motivated by applications in protocol processin...
Michael Benedikt, Alan Jeffrey
193
Voted
PKDD
2005
Springer
101views Data Mining» more  PKDD 2005»
16 years 13 days 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
APPROX
2011
Springer
197views Algorithms» more  APPROX 2011»
14 years 7 months ago
Periodicity and Cyclic Shifts via Linear Sketches
We consider the problem of identifying periodic trends in data streams. We say a signal a ∈ Rn is p-periodic if ai = ai+p for all i ∈ [n − p]. Recently, Erg¨un et al. [4] pr...
Michael S. Crouch, Andrew McGregor
191
Voted
ICDM
2007
IEEE
254views Data Mining» more  ICDM 2007»
16 years 1 months ago
Sampling for Sequential Pattern Mining: From Static Databases to Data Streams
Sequential pattern mining is an active field in the domain of knowledge discovery. Recently, with the constant progress in hardware technologies, real-world databases tend to gro...
Chedy Raïssi, Pascal Poncelet