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» Informative sampling for large unbalanced data sets
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ICDM
2007
IEEE
101views Data Mining» more  ICDM 2007»
15 years 7 months ago
Lightweight Distributed Trust Propagation
Using mobile devices, such as smart phones, people may create and distribute different types of digital content (e.g., photos, videos). One of the problems is that digital content...
Daniele Quercia, Stephen Hailes, Licia Capra
JBI
2008
15 years 1 months ago
The Field Representation Language
The complexity of quantitative biomedical models, and the rate at which they are published, is increasing to a point where managing the information has become all but impossible w...
Guy Tsafnat
223
Voted
ICDE
2005
IEEE
120views Database» more  ICDE 2005»
16 years 2 months ago
Progressive Distributed Top k Retrieval in Peer-to-Peer Networks
Query processing in traditional information management systems has moved from an exact match model to more flexible paradigms allowing cooperative retrieval by aggregating the dat...
Wolf-Tilo Balke, Wolfgang Nejdl, Wolf Siberski, Uw...
CIKM
2009
Springer
15 years 4 months ago
Provenance query evaluation: what's so special about it?
While provenance has been extensively studied in the literature, the efficient evaluation of provenance queries remains an open problem. Traditional query optimization techniques...
Anastasios Kementsietsidis, Min Wang
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
16 years 1 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye