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» Analysis of BPEL Data Dependencies
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109
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ESANN
2008
15 years 2 months ago
Parallelizing single patch pass clustering
Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming l...
Nikolai Alex, Barbara Hammer
HPDC
2005
IEEE
15 years 6 months ago
Genetic algorithm based automatic data partitioning scheme for HPF
good data partitioning scheme is the need of the time. However it is very diflcult to arrive at a good solution as the number of possible dutupartitionsfor a given real lifeprogra...
Sunil Kumar Anand, Y. N. Srikant
122
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EDM
2009
184views Data Mining» more  EDM 2009»
14 years 10 months ago
Process Mining Online Assessment Data
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated throug...
Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasily...
ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
15 years 6 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore
BMCBI
2010
102views more  BMCBI 2010»
15 years 21 days ago
Quantized correlation coefficient for measuring reproducibility of ChIP-chip data
Background: Chromatin immunoprecipitation followed by microarray hybridization (ChIP-chip) is used to study protein-DNA interactions and histone modifications on a genome-scale. T...
Shouyong Peng, Mitzi I. Kuroda, Peter J. Park