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KDD
2004
ACM
118views Data Mining» more  KDD 2004»
15 years 10 months ago
Parallel computation of high dimensional robust correlation and covariance matrices
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...
James Chilson, Raymond T. Ng, Alan Wagner, Ruben H...
ICDT
2001
ACM
147views Database» more  ICDT 2001»
15 years 2 months ago
Parallelizing the Data Cube
This paper presents a general methodology for the efficient parallelization of existing data cube construction algorithms. We describe two different partitioning strategies, one f...
Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambr...
GECCO
2005
Springer
148views Optimization» more  GECCO 2005»
15 years 3 months ago
Multiobjective VLSI cell placement using distributed genetic algorithm
Genetic Algorithms have worked fairly well for the VLSI cell placement problem, albeit with significant run times. Two parallel models for GA are presented for VLSI cell placemen...
Sadiq M. Sait, Mohammed Faheemuddin, Mahmood R. Mi...
OTM
2007
Springer
15 years 3 months ago
Parallelizing Tableaux-Based Description Logic Reasoning
Practical scalability of Description Logic (DL) reasoning is an important premise for the adoption of OWL in a real-world setting. Many highly efficient optimizations for the DL ta...
Thorsten Liebig, Felix Müller
ACL
2011
14 years 1 months ago
An Algorithm for Unsupervised Transliteration Mining with an Application to Word Alignment
We propose a language-independent method for the automatic extraction of transliteration pairs from parallel corpora. In contrast to previous work, our method uses no form of supe...
Hassan Sajjad, Alexander Fraser, Helmut Schmid