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» The Stardinates - Visualizing Highly Structured Data
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ASUNAM
2011
IEEE
14 years 1 months ago
Content-based Modeling and Prediction of Information Dissemination
—Social and communication networks across the world generate vast amounts of graph-like data each day. The modeling and prediction of how these communication structures evolve ca...
Kathy Macropol, Ambuj K. Singh
PVLDB
2010
90views more  PVLDB 2010»
15 years 10 days ago
The HV-tree: a Memory Hierarchy Aware Version Index
The huge amount of temporal data generated from many important applications call for a highly efficient and scalable version index. The TSB-tree has the potential of large scalab...
Rui Zhang, Martin Stradling
BMCBI
2007
120views more  BMCBI 2007»
15 years 2 months ago
Re-sampling strategy to improve the estimation of number of null hypotheses in FDR control under strong correlation structures
Background: When conducting multiple hypothesis tests, it is important to control the number of false positives, or the False Discovery Rate (FDR). However, there is a tradeoff be...
Xin Lu, David L. Perkins
ICDM
2009
IEEE
197views Data Mining» more  ICDM 2009»
14 years 11 months ago
A Linear-Time Graph Kernel
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...
Shohei Hido, Hisashi Kashima
GECCO
2003
Springer
148views Optimization» more  GECCO 2003»
15 years 7 months ago
Structural and Functional Sequence Test of Dynamic and State-Based Software with Evolutionary Algorithms
Evolutionary Testing (ET) has been shown to be very successful for testing real world applications [10]. The original ET approach focusesonsearching for a high coverage of the test...
André Baresel, Hartmut Pohlheim, Sadegh Sad...