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SDM
2012
SIAM
304views Data Mining» more  SDM 2012»
13 years 1 days ago
Fast Random Walk Graph Kernel
Random walk graph kernel has been used as an important tool for various data mining tasks including classification and similarity computation. Despite its usefulness, however, it...
U. Kang, Hanghang Tong, Jimeng Sun
CVPR
2012
IEEE
13 years 2 days ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
ICDM
2005
IEEE
148views Data Mining» more  ICDM 2005»
15 years 3 months ago
A Graph-Ranking Algorithm for Geo-Referencing Documents
This paper presents an application of PageRank for assigning documents with a corresponding geographical scope. We describe the technique in detail, together with its theoretical ...
Bruno Martins, Mário J. Silva
WWW
2007
ACM
15 years 10 months ago
Measuring credibility of users in an e-learning environment
Learning Villages (LV) is an E-learning platform for people's online discussions and frequently citing postings of one another. In this paper, we propose a novel method to ra...
Wei Wei, Jimmy Ho-Man Lee, Irwin King
SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
14 years 14 days 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