Sciweavers

587 search results - page 51 / 118
» Clustering Improves the Exploration of Graph Mining Results
Sort
View
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
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
14 years 10 months ago
Laplacian Spectrum Learning
Abstract. The eigenspectrum of a graph Laplacian encodes smoothness information over the graph. A natural approach to learning involves transforming the spectrum of a graph Laplaci...
Pannagadatta K. Shivaswamy, Tony Jebara
CVPR
2008
IEEE
16 years 1 months ago
Unsupervised modeling of object categories using link analysis techniques
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
Gunhee Kim, Christos Faloutsos, Martial Hebert
INFOCOM
2002
IEEE
15 years 4 months ago
Using the Small-World Model to Improve Freenet Performance
– Efficient data retrieval in a peer-to-peer system like Freenet is a challenging problem. In this paper we study the impact of cache replacement policy on the performance of Fre...
Hui Zhang 0002, Ashish Goel, Ramesh Govindan
KDD
2005
ACM
124views Data Mining» more  KDD 2005»
16 years 7 days ago
A multinomial clustering model for fast simulation of computer architecture designs
Computer architects utilize simulation tools to evaluate the merits of a new design feature. The time needed to adequately evaluate the tradeoffs associated with adding any new fe...
Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R....