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» The Stardinates - Visualizing Highly Structured Data
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ASUNAM
2011
IEEE
14 years 7 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 5 months 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 7 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»
15 years 4 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»
16 years 5 days 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...