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KDD
2005
ACM
127views Data Mining» more  KDD 2005»
16 years 7 months ago
Detection of emerging space-time clusters
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 7 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
16 years 3 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
NDSS
2008
IEEE
16 years 1 months ago
Usable PIR
In [22] we showed that existing single-server computational private information retrieval (PIR) protocols for the purpose of preserving client access patterns leakage are orders o...
Peter Williams, Radu Sion
ICMCS
2007
IEEE
164views Multimedia» more  ICMCS 2007»
16 years 28 days ago
Medical Visual Information Retrieval: State of the Art and Challenges Ahead
Today’s medical institutions produce enormous amounts of data on patients, including multimedia data, which is increasingly produced in digital form. These data in their clinica...
Henning Müller, Xin Zhou, Adrien Depeursinge,...
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