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» Finding Representative Set from Massive Data
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KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 5 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
TEC
2008
104views more  TEC 2008»
15 years 4 months ago
Genetic-Fuzzy Data Mining With Divide-and-Conquer Strategy
Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction data i...
Tzung-Pei Hong, Chun-Hao Chen, Yeong-Chyi Lee, Yu-...
146
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BMCBI
2005
140views more  BMCBI 2005»
15 years 4 months ago
Dissecting systems-wide data using mixture models: application to identify affected cellular processes
Background: Functional analysis of data from genome-scale experiments, such as microarrays, requires an extensive selection of differentially expressed genes. Under many condition...
J. Peter Svensson, Renée X. de Menezes, Ing...
AVI
2008
15 years 7 months ago
Realizing the hidden: interactive visualization and analysis of large volumes of structured data
An emerging trend in Web computing aims at collecting and integrating distributed data. For instance, community driven efforts recently have build ontological repositories made of...
Olaf Noppens, Thorsten Liebig
CCR
2006
82views more  CCR 2006»
15 years 4 months ago
The internet AS-level topology: three data sources and one definitive metric
We calculate an extensive set of characteristics for Internet AS topologies extracted from the three data sources most frequently used by the research community: traceroutes, BGP,...
Priya Mahadevan, Dmitri V. Krioukov, Marina Fomenk...