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» Mining data streams: a review
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DKE
2007
95views more  DKE 2007»
13 years 8 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
SDM
2007
SIAM
177views Data Mining» more  SDM 2007»
13 years 10 months ago
Bursty Feature Representation for Clustering Text Streams
Text representation plays a crucial role in classical text mining, where the primary focus was on static text. Nevertheless, well-studied static text representations including TFI...
Qi He, Kuiyu Chang, Ee-Peng Lim, Jun Zhang
URBAN
2008
86views more  URBAN 2008»
13 years 8 months ago
Social area analysis, data mining, and GIS
: There is a long tradition of describing cities through a focus on the characteristics of their residents. A brief review of the history of this approach to describing cities high...
Seth E. Spielman, Jean-Claude Thill
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
ATAL
2007
Springer
14 years 3 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek