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» Efficient Discovery of Confounders in Large Data Sets
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ICDM
2010
IEEE
273views Data Mining» more  ICDM 2010»
13 years 6 months ago
Learning Maximum Lag for Grouped Graphical Granger Models
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
Amit Dhurandhar
KDD
2006
ACM
122views Data Mining» more  KDD 2006»
14 years 9 months ago
Measuring and extracting proximity in networks
Measuring distance or some other form of proximity between objects is a standard data mining tool. Connection subgraphs were recently proposed as a way to demonstrate proximity be...
Yehuda Koren, Stephen C. North, Chris Volinsky
ER
2004
Springer
163views Database» more  ER 2004»
14 years 19 days ago
From Ontology to Relational Databases
The semantic web envisions a World Wide Web in which data is described with rich semantics and applications can pose complex queries. Ontologies, a cornerstone of the semantic web,...
Anuradha Gali, Cindy X. Chen, Kajal T. Claypool, R...
ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
13 years 6 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
CVPR
2003
IEEE
14 years 11 months ago
Clustering Appearances of Objects Under Varying Illumination Conditions
We introduce two appearance-based methods for clustering a set of images of 3-D objects, acquired under varying illumination conditions, into disjoint subsets corresponding to ind...
Jeffrey Ho, Ming-Hsuan Yang, Jongwoo Lim, Kuang-Ch...