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» Statistical Supports for Frequent Itemsets on Data Streams
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DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
15 years 3 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
SDM
2009
SIAM
191views Data Mining» more  SDM 2009»
15 years 9 months ago
Adaptive Concept Drift Detection.
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
Anton Dries, Ulrich Rückert
EDBT
2008
ACM
138views Database» more  EDBT 2008»
15 years 11 months ago
Mine your own business, mine others' news!
Major media companies such as The Financial Times, the Wall Street Journal or Reuters generate huge amounts of textual news data on a daily basis. Mining frequent patterns in this...
Boualem Benatallah, Guillaume Raschia, Noureddine ...
TVCG
2012
182views Hardware» more  TVCG 2012»
13 years 2 months ago
ISP: An Optimal Out-of-Core Image-Set Processing Streaming Architecture for Parallel Heterogeneous Systems
—Image population analysis is the class of statistical methods that plays a central role in understanding the development, evolution and disease of a population. However, these t...
Linh K. Ha, Jens Krüger, João Luiz Dih...
GIS
2006
ACM
16 years 22 days ago
Optimization of multiple continuous queries over streaming satellite data
Remotely sensed data, in particular satellite imagery, play many important roles in environmental applications and models. In particular applications that study (rapid) changes in...
Quinn Hart, Michael Gertz