67 search results - page 5 / 14 » Data weaving: scaling up the state-of-the-art in data cluste... |
DBISP2P
2008
Springer
14 years 11 months ago
2008
Springer
K-Means clustering is widely used in information retrieval and data mining. Distributed K-Means variants have already been proposed, but none of the past algorithms scales to large...
ICDM
2005
IEEE
15 years 3 months ago
2005
IEEE
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...
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OSDI
2008
ACM
14 years 12 months ago
2008
ACM
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments su...
DSRT
2006
IEEE
15 years 3 months ago
2006
IEEE
The vision of grid computing is to make computational power, storage capacity, data and applications available to users as readily as electricity and other utilities. Grid infrast...
ICDE
2012
IEEE
13 years 2 days ago
2012
IEEE
—“Big Data” in map-reduce (M-R) clusters is often fundamentally temporal in nature, as are many analytics tasks over such data. For instance, display advertising uses Behavio...