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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
295views Data Mining» more  WSDM 2012»
14 years 2 months ago
A straw shows which way the wind blows: ranking potentially popular items from early votes
Prediction of popular items in online content sharing systems has recently attracted a lot of attention due to the tremendous need of users and its commercial values. Different fr...
Peifeng Yin, Ping Luo, Min Wang, Wang-Chien Lee
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
13 years 9 months ago
Web image prediction using multivariate point processes
In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...
Gunhee Kim, Fei-Fei Li, Eric P. Xing
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