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CIKM
2008
Springer
13 years 10 months ago
Multi-scale characterization of social network dynamics in the blogosphere
We have developed a computational framework to characterize social network dynamics in the blogosphere at individual, group and community levels. Such characterization could be us...
Munmun De Choudhury, Hari Sundaram, Ajita John, Do...
TMI
2002
143views more  TMI 2002»
13 years 7 months ago
A Support Vector Machine Approach for Detection of Microcalcifications
In this paper, we investigate an approach based on support vector machines (SVMs) for detection of microcalcification (MC) clusters in digital mammograms, and propose a successive ...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
ICDE
2011
IEEE
200views Database» more  ICDE 2011»
12 years 11 months ago
Deriving probabilistic databases with inference ensembles
— Many real-world applications deal with uncertain or missing data, prompting a surge of activity in the area of probabilistic databases. A shortcoming of prior work is the assum...
Julia Stoyanovich, Susan B. Davidson, Tova Milo, V...
KDD
2007
ACM
179views Data Mining» more  KDD 2007»
14 years 2 months ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
14 years 15 days ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...