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» Resolvent of large random graphs
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KDD
2006
ACM
122views Data Mining» more  KDD 2006»
14 years 8 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
IV
2002
IEEE
130views Visualization» more  IV 2002»
14 years 19 days ago
Spring Embedder Preprocessing for WWW Visualization
We present a preprocessor for the spring embedder graph drawing method and show its use in speeding up the automatic layout of three-dimensional visualizations of WWW sites. Sprin...
Paul Mutton, Peter Rodgers
NAACL
2010
13 years 5 months ago
Hitting the Right Paraphrases in Good Time
We present a random-walk-based approach to learning paraphrases from bilingual parallel corpora. The corpora are represented as a graph in which a node corresponds to a phrase, an...
Stanley Kok, Chris Brockett
PVLDB
2010
120views more  PVLDB 2010»
13 years 6 months ago
Sampling the Repairs of Functional Dependency Violations under Hard Constraints
Violations of functional dependencies (FDs) are common in practice, often arising in the context of data integration or Web data extraction. Resolving these violations is known to...
George Beskales, Ihab F. Ilyas, Lukasz Golab
ASUNAM
2010
IEEE
13 years 9 months ago
COSI: Cloud Oriented Subgraph Identification in Massive Social Networks
Subgraph matching is a key operation on graph data. Social network (SN) providers may want to find all subgraphs within their social network that "match" certain query gr...
Matthias Bröcheler, Andrea Pugliese, V. S. Su...