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» Hierarchy as a new data type for qualitative variables
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JMLR
2008
144views more  JMLR 2008»
13 years 7 months ago
Search for Additive Nonlinear Time Series Causal Models
Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence ...
Tianjiao Chu, Clark Glymour
SOSP
2007
ACM
14 years 4 months ago
MUVI: automatically inferring multi-variable access correlations and detecting related semantic and concurrency bugs
Software defects significantly reduce system dependability. Among various types of software bugs, semantic and concurrency bugs are two of the most difficult to detect. This pape...
Shan Lu, Soyeon Park, Chongfeng Hu, Xiao Ma, Weiha...
CIKM
2004
Springer
14 years 24 days ago
Organizing structured web sources by query schemas: a clustering approach
In the recent years, the Web has been rapidly “deepened” with the prevalence of databases online. On this deep Web, many sources are structured by providing structured query i...
Bin He, Tao Tao, Kevin Chen-Chuan Chang
EVOW
2006
Springer
13 years 11 months ago
Hierarchical Clustering, Languages and Cancer
In this paper, we introduce a novel objective function for the hierarchical clustering of data from distance matrices, a very relevant task in Bioinformatics. To test the robustnes...
Pritha Mahata, Wagner Costa, Carlos Cotta, Pablo M...
KDD
2005
ACM
140views Data Mining» more  KDD 2005»
14 years 7 months ago
Graphs over time: densification laws, shrinking diameters and possible explanations
How do real graphs evolve over time? What are "normal" growth patterns in social, technological, and information networks? Many studies have discovered patterns in stati...
Jure Leskovec, Jon M. Kleinberg, Christos Faloutso...