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» Combining Collective Classification and Link Prediction
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ICDM
2007
IEEE
151views Data Mining» more  ICDM 2007»
13 years 8 months ago
Combining Collective Classification and Link Prediction
The problems of object classification (labeling the nodes of a graph) and link prediction (predicting the links in a graph) have been largely studied independently. Commonly, obje...
Mustafa Bilgic, Galileo Namata, Lise Getoor
CIKM
2010
Springer
13 years 2 months ago
Combining link and content for collective active learning
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Lixin Shi, Yuhang Zhao, Jie Tang
ADMA
2006
Springer
143views Data Mining» more  ADMA 2006»
13 years 8 months ago
Robust Collective Classification with Contextual Dependency Network Models
Abstract. In order to exploit the dependencies in relational data to improve predictions, relational classification models often need to make simultaneous statistical judgments abo...
YongHong Tian, Tiejun Huang, Wen Gao
ERCIMDL
2001
Springer
132views Education» more  ERCIMDL 2001»
13 years 9 months ago
A Combined Phrase and Thesaurus Browser for Large Document Collections
A hierarchical browsing interface to a document collection can be constructed by identifying the phrases that recur in the full text of the documents and structuring them into a h...
Gordon W. Paynter, Ian H. Witten
CIKM
2006
Springer
13 years 8 months ago
Multi-evidence, multi-criteria, lazy associative document classification
We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
Adriano Veloso, Wagner Meira Jr., Marco Cristo, Ma...