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» Online Algorithms for Mining Semi-structured Data Stream
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DASFAA
2010
IEEE
225views Database» more  DASFAA 2010»
13 years 7 months ago
Mining Regular Patterns in Data Streams
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed,...
CIDM
2007
IEEE
13 years 7 months ago
SSM : A Frequent Sequential Data Stream Patterns Miner
Data stream applications like sensor network data, click stream data, have data arriving continuously at high speed rates and require online mining process capable of delivering c...
C. I. Ezeife, Mostafa Monwar
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
11 years 9 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
ICDM
2008
IEEE
135views Data Mining» more  ICDM 2008»
14 years 1 months ago
A Data Stream Mining System
On-line data stream mining has attracted much research interest, but systems that can be used as a workbench for online mining have not been researched, since they pose many difï¬...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 7 months ago
Real-time ranking with concept drift using expert advice
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...
Hila Becker, Marta Arias