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DCC
2009
IEEE
14 years 9 months ago
An Adaptive Sub-sampling Method for In-memory Compression of Scientific Data
A current challenge in scientific computing is how to curb the growth of simulation datasets without losing valuable information. While wavelet based methods are popular, they req...
Didem Unat, Theodore Hromadka III, Scott B. Baden
WKDD
2010
CPS
238views Data Mining» more  WKDD 2010»
13 years 6 months ago
3D Scientific Data Mining in Ion Trajectories
In physics, structure of glass and ion trajectories are essentially based on statistical analysis of data acquired through experimental measurement and computer simulation [1, 2]. ...
J. M. Sharif, M. Mahadi Abdul Jamil, Md. Asri Ngad...
KDD
1997
ACM
122views Data Mining» more  KDD 1997»
14 years 1 months ago
Improving Scalability in a Scientific Discovery System by Exploiting Parallelism
Gehad Galal, Diane J. Cook, Lawrence B. Holder
KDD
1998
ACM
140views Data Mining» more  KDD 1998»
14 years 1 months ago
Blurring the Distinction between Command and Data in Scientific KDD
We have been working on two different KDD systems for scientific data. One system involves comparative genomics, where the database contains more than 60,000 plant gene and protei...
John V. Carlis, Elizabeth Shoop, Scott Krieger
SSDBM
2010
IEEE
308views Database» more  SSDBM 2010»
14 years 2 months ago
Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data
The Resource Description Framework (RDF) format is being used by a large number of scientific applications to store and disseminate their datasets. The provenance information, desc...
Satya Sanket Sahoo, Olivier Bodenreider, Pascal Hi...