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» Link Prediction in Relational Data
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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
14 years 1 months ago
An evolutionary approach to constructive induction for link discovery
This paper presents a genetic programming-based symbolic regression approach to the construction of relational features in link analysis applications. Specifically, we consider t...
Tim Weninger, William H. Hsu, Jing Xia, Waleed Alj...
SDM
2009
SIAM
162views Data Mining» more  SDM 2009»
14 years 4 months ago
Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanish...
CIKM
2009
Springer
13 years 10 months ago
A framework for semantic link discovery over relational data
Discovering links between different data items in a single data source or across different data sources is a challenging problem faced by many information systems today. In partic...
Oktie Hassanzadeh, Anastasios Kementsietsidis, Lip...
WWW
2009
ACM
14 years 7 months ago
A declarative framework for semantic link discovery over relational data
In this paper, we present a framework for online discovery of semantic links from relational data. Our framework is based on declarative specification of the linkage requirements ...
Oktie Hassanzadeh, Lipyeow Lim, Anastasios Kements...
WWW
2009
ACM
14 years 7 months ago
Triplify: light-weight linked data publication from relational databases
In this paper we present Triplify ? a simplistic but effective approach to publish Linked Data from relational databases. Triplify is based on mapping HTTP-URI requests onto relat...
Sören Auer, Sebastian Dietzold, Jens Lehmann,...