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PAKDD
2011
ACM
214views Data Mining» more  PAKDD 2011»
14 years 9 months ago
Spectral Analysis of k-Balanced Signed Graphs
Abstract. Previous studies on social networks are often focused on networks with only positive relations between individual nodes. As a significant extension, we conduct the spectr...
Leting Wu, Xiaowei Ying, Xintao Wu, Aidong Lu, Zhi...
PAKDD
2011
ACM
209views Data Mining» more  PAKDD 2011»
14 years 9 months ago
Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation
Abstract. Given a graph with billions of nodes and edges, how can we find patterns and anomalies? Are there nodes that participate in too many or too few triangles? Are there clos...
U. Kang, Brendan Meeder, Christos Faloutsos
SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
14 years 9 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
SISAP
2011
IEEE
437views Data Mining» more  SISAP 2011»
14 years 9 months ago
Succinct nearest neighbor search
In this paper we present a novel technique for nearest neighbor searching dubbed neighborhood approximation. The central idea is to divide the database into compact regions repres...
Eric Sadit Tellez, Edgar Chávez, Gonzalo Na...
WSDM
2012
ACM
246views Data Mining» more  WSDM 2012»
14 years 2 months ago
Auralist: introducing serendipity into music recommendation
Recommendation systems exist to help users discover content in a large body of items. An ideal recommendation system should mimic the actions of a trusted friend or expert, produc...
Yuan Cao Zhang, Diarmuid Ó Séaghdha,...
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