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CLOUDCOM
2010
Springer
14 years 7 months ago
Efficient Metadata Generation to Enable Interactive Data Discovery over Large-Scale Scientific Data Collections
Discovering the correct dataset efficiently is critical for computations and effective simulations in scientific experiments. In contrast to searching web documents over the Intern...
Sangmi Lee Pallickara, Shrideep Pallickara, Milija...
DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
15 years 1 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
BMCBI
2006
133views more  BMCBI 2006»
14 years 9 months ago
An integrated approach to the prediction of domain-domain interactions
Background: The development of high-throughput technologies has produced several large scale protein interaction data sets for multiple species, and significant efforts have been ...
Hyunju Lee, Minghua Deng, Fengzhu Sun, Ting Chen
CHI
2006
ACM
15 years 10 months ago
Unified associative information storage and retrieval
We present a novel system for performing information management in a unified manner. Users currently must manage large amounts of data which may be fragmented across file formats ...
Brandon Rothrock, Brad A. Myers, Sophie H. Wang
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
15 years 7 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...