1083 search results - page 54 / 217 » Efficient Discovery of Confounders in Large Data Sets |
167
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DCC
2004
IEEE
16 years 5 months ago
2004
IEEE
3D neuro-anatomical images and other volumetric data sets are important in many scientific and biomedical fields. Since such sets may be extremely large, a scalable compression me...
194
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SDM
2009
SIAM
16 years 3 months ago
2009
SIAM
Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
219
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SSD
2001
Springer
15 years 10 months ago
2001
Springer
The problem of mining spatiotemporal patterns is finding sequences of events that occur frequently in spatiotemporal datasets. Spatiotemporal datasets store the evolution of object...
213
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IEAAIE
2009
Springer
16 years 21 days ago
2009
Springer
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
240
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SIGMOD
2005
ACM
16 years 6 months ago
2005
ACM
Data analysts need to understand the quality of data in the warehouse. This is often done by issuing many Group By queries on the sets of columns of interest. Since the volume of ...