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139
Voted
KDD
2008
ACM
16 years 3 months ago
2008
ACM
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
137
Voted
KDD
2008
ACM
16 years 3 months ago
2008
ACM
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
132
click to vote
KDD
2008
ACM
16 years 3 months ago
2008
ACM
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
111
Voted
KDD
2007
ACM
16 years 3 months ago
2007
ACM
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
137
Voted
KDD
2006
ACM
16 years 3 months ago
2006
ACM
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...