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124
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KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 1 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
84
Voted
WWW
2009
ACM
16 years 1 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...
100
Voted
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
15 years 2 months ago
Predictive Modeling with Heterogeneous Sources
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...
65
Voted
WISE
2007
Springer
15 years 7 months ago
Using Clustering and Edit Distance Techniques for Automatic Web Data Extraction
Manuel Álvarez, Alberto Pan, Juan Raposo, F...
113
Voted
CIKM
2005
Springer
15 years 6 months ago
ViPER: augmenting automatic information extraction with visual perceptions
In this paper we address the problem of unsupervised Web data extraction. We show that unsupervised Web data extraction becomes feasible when supposing pages that are made up of r...
Kai Simon, Georg Lausen