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» Evaluating role mining algorithms
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KDD
2012
ACM
229views Data Mining» more  KDD 2012»
12 years 25 days ago
Finding trendsetters in information networks
Influential people have an important role in the process of information diffusion. However, there are several ways to be influential, for example, to be the most popular or the...
Diego Sáez-Trumper, Giovanni Comarela, Virg...
SAC
2008
ACM
13 years 10 months ago
Discovering relationships among categories using misclassification information
Knowledge of relationships among categories is of the interest in different domains such as text classification, content analysis, and text mining. We propose and evaluate approac...
Saket S. R. Mengle, Nazli Goharian, Alana Platt
ICDE
2012
IEEE
240views Database» more  ICDE 2012»
12 years 26 days ago
Ego-centric Graph Pattern Census
—There is increasing interest in analyzing networks of all types including social, biological, sensor, computer, and transportation networks. Broadly speaking, we may be interest...
Walaa Eldin Moustafa, Amol Deshpande, Lise Getoor
SDM
2012
SIAM
305views Data Mining» more  SDM 2012»
12 years 24 days ago
Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and Links
Objects linking with many other objects in an information network may imply various semantic relationships. Uncovering such knowledge is essential for role discovery, data cleanin...
Chi Wang, Jiawei Han, Qi Li, Xiang Li, Wen-Pin Lin...
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
14 years 10 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...