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ICDM
2007
IEEE
151views Data Mining» more  ICDM 2007»
15 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
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 6 months ago
Scalable influence maximization for prevalent viral marketing in large-scale social networks
Influence maximization, defined by Kempe, Kleinberg, and Tardos (2003), is the problem of finding a small set of seed nodes in a social network that maximizes the spread of influe...
Wei Chen, Chi Wang, Yajun Wang
SDM
2008
SIAM
157views Data Mining» more  SDM 2008»
15 years 6 months ago
ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
Gene expression information from microarray experiments is a primary form of data for biological analysis and can offer insights into disease processes and cellular behaviour. Suc...
M. Maruf Hossain, Md. Rafiul Hassan, James Bailey
SBBD
2003
135views Database» more  SBBD 2003»
15 years 5 months ago
Privacy Preserving Clustering by Data Transformation
Despite its benefit in a wide range of applications, data mining techniques also have raised a number of ethical issues. Some such issues include those of privacy, data security,...
Stanley R. M. Oliveira, Osmar R. Zaïane
143
Voted
DMIN
2009
142views Data Mining» more  DMIN 2009»
15 years 2 months ago
Efficient Record Linkage using a Double Embedding Scheme
Record linkage is the problem of identifying similar records across different data sources. The similarity between two records is defined based on domain-specific similarity functi...
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