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» Detecting Inconsistencies in Distributed Data
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AOSD
2009
ACM
14 years 3 months ago
Expressive scoping of distributed aspects
Dynamic deployment of aspects brings greater flexibility and reuse potential, but requires proper means for scoping aspects. Scoping issues are particularly crucial in a distribu...
Éric Tanter, Johan Fabry, Rémi Douen...
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
14 years 9 months ago
The "DGX" distribution for mining massive, skewed data
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...
Zhiqiang Bi, Christos Faloutsos, Flip Korn
CMA
2011
13 years 3 months ago
Detecting critical regions in multidimensional data sets
We propose a new approach, based on the Conley index theory, for the detection and classification of critical regions in multidimensional data sets. The use of homology groups ma...
Madjid Allili, David Corriveau, Sara Deriviè...
DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
14 years 17 days 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
BC
1998
58views more  BC 1998»
13 years 8 months ago
Detecting multimodality in saccadic reaction time distributions in gap and overlap tasks
In many cases the distribution of saccadic reaction times (SRT) deviates considerably from a unimodal distribution and may often exhibit several peaks. We present a statistical app...
Stefan Gezeck, Jens Timmer