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» Reducing the Frequent Pattern Set
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ESWA
2008
134views more  ESWA 2008»
13 years 6 months ago
Neighborhood classifiers
K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for...
Qinghua Hu, Daren Yu, Zongxia Xie
SAC
2008
ACM
13 years 6 months ago
ICER: a tool for finding errors in a UML model
Detecting errors in an early phase of software development can help to reduce the cost of software systems. Many research attempts presented a fixed set of rules to help finding e...
Wuwei Shen, Dae-Kyoo Kim
IV
2010
IEEE
196views Visualization» more  IV 2010»
13 years 6 months ago
3D Edge Bundling for Geographical Data Visualization
Visualization of graphs containing many nodes and edges efficiently is quite challenging since representations generally suffer from visual clutter induced by the large amount of...
Antoine Lambert, Romain Bourqui, David Auber
PROCEDIA
2010
140views more  PROCEDIA 2010»
13 years 6 months ago
Jaccard Index based availability prediction in enterprise grids
Enterprise Grid enables sharing and aggregation of a set of computing or storage resources connected by enterprise network, but the availability of the resources in this environme...
Mustafizur Rahman 0003, Md. Rafiul Hassan, Rajkuma...
SIGCOMM
2006
ACM
14 years 1 months ago
Minimizing churn in distributed systems
A pervasive requirement of distributed systems is to deal with churn — change in the set of participating nodes due to joins, graceful leaves, and failures. A high churn rate ca...
Brighten Godfrey, Scott Shenker, Ion Stoica