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KDD
2003
ACM
195views Data Mining» more  KDD 2003»
16 years 7 months ago
Visualizing changes in the structure of data for exploratory feature selection
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
Elias Pampalk, Werner Goebl, Gerhard Widmer
KDD
2003
ACM
135views Data Mining» more  KDD 2003»
16 years 7 months ago
Efficiently handling feature redundancy in high-dimensional data
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
Lei Yu, Huan Liu
ICEIS
2009
IEEE
16 years 1 months ago
Minable Data Warehouse
Data warehouses have been widely used in various capacities such as large corporations or public institutions. These systems contain large and rich datasets that are often used by ...
David Morgan, Jai W. Kang, James M. Kang
PPOPP
2010
ACM
16 years 3 months ago
A distributed placement service for graph-structured and tree-structured data
Effective data placement strategies can enhance the performance of data-intensive applications implemented on high end computing clusters. Such strategies can have a significant i...
Gregory Buehrer, Srinivasan Parthasarathy, Shirish...
BMCBI
2006
160views more  BMCBI 2006»
15 years 6 months ago
MIMAS: an innovative tool for network-based high density oligonucleotide microarray data management and annotation
Background: The high-density oligonucleotide microarray (GeneChip) is an important tool for molecular biological research aiming at large-scale detection of small nucleotide polym...
Leandro Hermida, Olivier Schaad, Philippe Demougin...