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ICDM
2008
IEEE
92views Data Mining» more  ICDM 2008»
15 years 7 months ago
A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation
Recent research has shown that collective classification in relational data often exhibit significant performance gains over conventional approaches that classify instances indi...
Pelin Angin, Jennifer Neville
99
Voted
LREC
2008
150views Education» more  LREC 2008»
15 years 2 months ago
Causal Relation Extraction
This paper presents a supervised method for the detection and extraction of Causal Relations from open domain text. First we give a brief outline of the definition of causation an...
Eduardo Blanco, Núria Castell, Dan I. Moldo...
SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
16 years 25 days ago
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
ICDM
2005
IEEE
137views Data Mining» more  ICDM 2005»
15 years 6 months ago
Leveraging Relational Autocorrelation with Latent Group Models
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
Jennifer Neville, David Jensen
EMNLP
2006
15 years 2 months ago
Boosting Unsupervised Relation Extraction by Using NER
Web extraction systems attempt to use the immense amount of unlabeled text in the Web in order to create large lists of entities and relations. Unlike traditional IE methods, the ...
Ronen Feldman, Benjamin Rosenfeld