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» Accelerated EM-based clustering of large data sets
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SIGMOD
1998
ACM
271views Database» more  SIGMOD 1998»
13 years 7 months ago
Towards On-Line Analytical Mining in Large Databases
Great e orts have been paid in the Intelligent Database Systems Research Lab for the research and development of e cient data mining methods and construction of on-line analytical...
Jiawei Han
ICCV
2001
IEEE
14 years 10 months ago
Feature Selection from Huge Feature Sets
The number of features that can be computed over an image is, for practical purposes, limitless. Unfortunately, the number of features that can be computed and exploited by most c...
José Bins, Bruce A. Draper
ASPLOS
2009
ACM
13 years 12 months ago
Gordon: using flash memory to build fast, power-efficient clusters for data-intensive applications
As our society becomes more information-driven, we have begun to amass data at an astounding and accelerating rate. At the same time, power concerns have made it difficult to brin...
Adrian M. Caulfield, Laura M. Grupp, Steven Swanso...
INTENSIVE
2009
IEEE
14 years 2 months ago
A Service for Data-Intensive Computations on Virtual Clusters
Digital Preservation deals with the long-term storage, access, and maintenance of digital data objects. In order to prevent a loss of information, digital libraries and archives a...
Rainer Schmidt, Christian Sadilek, Ross King
ESA
2010
Springer
185views Algorithms» more  ESA 2010»
13 years 9 months ago
Fast Routing in Very Large Public Transportation Networks Using Transfer Patterns
We show how to route on very large public transportation networks (up to half a billion arcs) with average query times of a few milliseconds. We take into account many realistic fe...
Hannah Bast, Erik Carlsson, Arno Eigenwillig, Robe...