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» Approximate data mining in very large relational data
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ICDM
2009
IEEE
113views Data Mining» more  ICDM 2009»
15 years 11 months ago
Connecting Sparsely Distributed Similar Bloggers
—The nature of the Blogosphere determines that the majority of bloggers are only connected with a small number of fellow bloggers, and similar bloggers can be largely disconnecte...
Nitin Agarwal, Huan Liu, Shankara B. Subramanya, J...
PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
15 years 11 months ago
Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC)
Abstract. We address the problem of joint feature selection in multiple related classification or regression tasks. When doing feature selection with multiple tasks, usually one c...
Paramveer S. Dhillon, Brian Tomasik, Dean P. Foste...
PKDD
2009
Springer
137views Data Mining» more  PKDD 2009»
15 years 11 months ago
On Subgroup Discovery in Numerical Domains
Subgroup discovery is a Knowledge Discovery task that aims at finding subgroups of a population with high generality and distributional unusualness. While several subgroup discove...
Henrik Grosskreutz, Stefan Rüping
ICDM
2009
IEEE
183views Data Mining» more  ICDM 2009»
15 years 2 months ago
Multirelational Topic Models
In this paper we propose the multirelational topic model (MRTM) for multiple types of link modeling such as citation and coauthor links in document networks. In the citation networ...
Jia Zeng, William K. Cheung, Chun-hung Li, Jiming ...
ICDM
2009
IEEE
171views Data Mining» more  ICDM 2009»
15 years 2 months ago
Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis
We propose a hybrid clustering strategy by integrating heterogeneous information sources as graphs. The hybrid clustering method is extended on the basis of modularity based Louva...
Xinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janss...