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» Scaling Clustering Algorithms to Large Databases
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BMCBI
2008
142views more  BMCBI 2008»
15 years 1 months ago
Microarray data mining: A novel optimization-based approach to uncover biologically coherent structures
Background: DNA microarray technology allows for the measurement of genome-wide expression patterns. Within the resultant mass of data lies the problem of analyzing and presenting...
Meng Piao Tan, Erin N. Smith, James R. Broach, Chr...
89
Voted
ICSE
2007
IEEE-ACM
16 years 1 months ago
DECKARD: Scalable and Accurate Tree-Based Detection of Code Clones
Detecting code clones has many software engineering applications. Existing approaches either do not scale to large code bases or are not robust against minor code modifications. I...
Ghassan Misherghi, Lingxiao Jiang, Stéphane...
102
Voted
IJHPCA
2006
99views more  IJHPCA 2006»
15 years 1 months ago
A Pragmatic Analysis Of Scheduling Environments On New Computing Platforms
Today, large scale parallel systems are available at relatively low cost. Many powerful such systems have been installed all over the world and the number of users is always incre...
Lionel Eyraud
KDD
2004
ACM
137views Data Mining» more  KDD 2004»
15 years 7 months ago
Mining scale-free networks using geodesic clustering
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...
Andrew Y. Wu, Michael Garland, Jiawei Han
CSDA
2006
82views more  CSDA 2006»
15 years 1 months ago
Nearest neighbours in least-squares data imputation algorithms with different missing patterns
Methods for imputation of missing data in the so-called least-squares approximation approach, a non-parametric computationally efficient multidimensional technique, are experiment...
Ito Wasito, Boris Mirkin