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KDD
2007
ACM
144views Data Mining» more  KDD 2007»
16 years 7 months ago
Fast direction-aware proximity for graph mining
In this paper we study asymmetric proximity measures on directed graphs, which quantify the relationships between two nodes or two groups of nodes. The measures are useful in seve...
Hanghang Tong, Christos Faloutsos, Yehuda Koren
HPCA
2008
IEEE
16 years 7 months ago
Fabric convergence implications on systems architecture
Converged fabrics that support data, storage, and cluster networking in a unified fashion are desirable for their cost and manageability advantages. Recent trends towards higher-b...
Kevin Leigh, Parthasarathy Ranganathan, Jaspal Sub...
RECOMB
2008
Springer
16 years 7 months ago
CompostBin: A DNA Composition-Based Algorithm for Binning Environmental Shotgun Reads
A major hindrance to studies of microbial diversity has been that the vast majority of microbes cannot be cultured in the laboratory and thus are not amenable to traditional method...
Sourav Chatterji, Ichitaro Yamazaki, Zhaojun Bai, ...
DCC
2006
IEEE
16 years 6 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
16 years 3 months ago
Randomization Techniques for Graphs.
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...