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ICDM
2006
IEEE
123views Data Mining» more  ICDM 2006»
13 years 10 months ago
Cluster Ranking with an Application to Mining Mailbox Networks
Ziv Bar-Yossef, Ido Guy, Ronny Lempel, Yoëlle...
SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
12 years 7 months ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
KDD
2009
ACM
206views Data Mining» more  KDD 2009»
14 years 5 months ago
Ranking-based clustering of heterogeneous information networks with star network schema
A heterogeneous information network is an information network composed of multiple types of objects. Clustering on such a network may lead to better understanding of both hidden s...
Yizhou Sun, Yintao Yu, Jiawei Han
SIGIR
2011
ACM
12 years 7 months ago
Decayed DivRank: capturing relevance, diversity and prestige in information networks
Many network-based ranking approaches have been proposed to rank objects according to different criteria, including relevance, prestige and diversity. However, existing approache...
Pan Du, Jiafeng Guo, Xueqi Cheng
KDD
2010
ACM
318views Data Mining» more  KDD 2010»
13 years 3 months ago
DivRank: the interplay of prestige and diversity in information networks
Information networks are widely used to characterize the relationships between data items such as text documents. Many important retrieval and mining tasks rely on ranking the dat...
Qiaozhu Mei, Jian Guo, Dragomir R. Radev