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» Maximal Vector Computation in Large Data Sets
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SADM
2010
173views more  SADM 2010»
15 years 1 months ago
Data reduction in classification: A simulated annealing based projection method
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
Tian Siva Tian, Rand R. Wilcox, Gareth M. James
DAC
2002
ACM
16 years 7 months ago
Automatic data migration for reducing energy consumption in multi-bank memory systems
An architectural solution to reducing memory energy consumption is to adopt a multi-bank memory system instead of a monolithic (single-bank) memory system. Some recent multi-bank ...
Victor De La Luz, Mahmut T. Kandemir, Ibrahim Kolc...
FTTCS
2006
132views more  FTTCS 2006»
15 years 6 months ago
Algorithms and Data Structures for External Memory
Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast ...
Jeffrey Scott Vitter
DEBU
2010
128views more  DEBU 2010»
15 years 4 months ago
Panda: A System for Provenance and Data
Panda (for Provenance and Data) is a new project whose goal is to develop a general-purpose system that unifies concepts from existing provenance systems and overcomes some limita...
Robert Ikeda, Jennifer Widom
SIGMOD
2000
ACM
165views Database» more  SIGMOD 2000»
15 years 11 months ago
Finding Generalized Projected Clusters In High Dimensional Spaces
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
Charu C. Aggarwal, Philip S. Yu