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WSDM
2009
ACM
125views Data Mining» more  WSDM 2009»
15 years 6 months ago
Less is more: sampling the neighborhood graph makes SALSA better and faster
In this paper, we attempt to improve the effectiveness and the efficiency of query-dependent link-based ranking algorithms such as HITS, MAX and SALSA. All these ranking algorith...
Marc Najork, Sreenivas Gollapudi, Rina Panigrahy
ISMIR
2005
Springer
179views Music» more  ISMIR 2005»
15 years 5 months ago
Discovering and Visualizing Prototypical Artists by Web-Based Co-Occurrence Analysis
Detecting artists that can be considered as prototypes for particular genres or styles of music is an interesting task. In this paper, we present an approach that ranks artists ac...
Markus Schedl, Peter Knees, Gerhard Widmer
SIGOPSE
2004
ACM
15 years 5 months ago
Separating durability and availability in self-managed storage
Building reliable data storage from unreliable components presents many challenges and is of particular interest for peer-to-peer storage systems. Recent work has examined the tra...
Geoffrey Lefebvre, Michael J. Feeley
SDM
2010
SIAM
153views Data Mining» more  SDM 2010»
15 years 1 months ago
Reconstruction from Randomized Graph via Low Rank Approximation
The privacy concerns associated with data analysis over social networks have spurred recent research on privacypreserving social network analysis, particularly on privacypreservin...
Leting Wu, Xiaowei Ying, Xintao Wu
SEBD
2008
177views Database» more  SEBD 2008»
15 years 1 months ago
Using PageRank in Feature Selection
Abstract. Feature selection is an important task in data mining because it allows to reduce the data dimensionality and eliminates the noisy variables. Traditionally, feature selec...
Dino Ienco, Rosa Meo, Marco Botta