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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 8 days ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
KDD
1997
ACM
128views Data Mining» more  KDD 1997»
15 years 4 months ago
An Interactive Visualization Environment for Data Exploration
Exploratory data analysis is a process of sifting through data in search of interesting information or patterns. Analysts’ current tools for exploring data include database mana...
Mark Derthick, John Kolojejchick, Steven F. Roth
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 8 days ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
IPPS
2008
IEEE
15 years 6 months ago
Providing security to the Desktop Data Grid
Volunteer Computing is becoming a new paradigm not only for the Computational Grid, but also for institutions using production-level Data Grids because of the enormous storage pot...
Jesus Luna, Michail Flouris, Manolis Marazakis, An...
CONCURRENCY
2010
130views more  CONCURRENCY 2010»
14 years 12 months ago
Enabling high-speed asynchronous data extraction and transfer using DART
As the complexity and scale of current scientific and engineering applications grow, managing and transporting the large amounts of data they generate is quickly becoming a signif...
Ciprian Docan, Manish Parashar, Scott Klasky