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153
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PKDD
2000
Springer
144views Data Mining» more  PKDD 2000»
15 years 7 months ago
Fast Hierarchical Clustering Based on Compressed Data and OPTICS
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Markus M. Breunig, Hans-Peter Kriegel, Jörg S...
VCBM
2010
14 years 10 months ago
Fast and Smooth Interactive Segmentation of Medical Images Using Variational Interpolation
We present a fast and interactive segmentation method for medical images that allows a smooth reconstruction of an object's surface from a set of user drawn, three-dimensiona...
Frank Heckel, Olaf Konrad, Heinz-Otto Peitgen
175
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ICDM
2006
IEEE
296views Data Mining» more  ICDM 2006»
15 years 9 months ago
Fast Random Walk with Restart and Its Applications
How closely related are two nodes in a graph? How to compute this score quickly, on huge, disk-resident, real graphs? Random walk with restart (RWR) provides a good relevance scor...
Hanghang Tong, Christos Faloutsos, Jia-Yu Pan
132
Voted
BMCBI
2006
102views more  BMCBI 2006»
15 years 3 months ago
UVPAR: fast detection of functional shifts in duplicate genes
Background: The imprint of natural selection on gene sequences is often difficult to detect. A plethora of methods have been devised to detect genetic changes due to selective pro...
Vicente Arnau, Miguel Gallach, J. Ignasi Lucas, Ig...
112
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WSC
2008
15 years 6 months ago
Application of fuzzy-MRP-II in fast moving consumer goods manufacturing industry
In today's global marketplace, the information associated with a product is fast becoming a critical link in the supply chain. Especially in fast moving consumer goods (FMCGs...
Jiping Niu, John Dartnall