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» Advanced High Performance Algorithms for Data Processing
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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 11 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
BMCBI
2007
237views more  BMCBI 2007»
15 years 7 months ago
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
Limin Fu, Enzo Medico
HPDC
2010
IEEE
15 years 8 months ago
Data parallelism in bioinformatics workflows using Hydra
Large scale bioinformatics experiments are usually composed by a set of data flows generated by a chain of activities (programs or services) that may be modeled as scientific work...
Fábio Coutinho, Eduardo S. Ogasawara, Danie...
SIES
2007
IEEE
16 years 1 months ago
Design Space Exploration with Evolutionary Multi-Objective Optimisation
— High level synthesis is one of the next major steps to improve the hw/sw co-design process. The advantages of high nthesis are two-fold. At first the level of abstraction is r...
Martin Holzer 0002, Bastian Knerr, Markus Rupp
IADIS
2009
15 years 4 months ago
A strategy for cost efficient distributed data storage for in-memory OLAP
With the availability of inexpensive blade servers featuring 32 GB or more of main memory, memory-based engines such as the SAP NetWeaver Business Warehouse Accelerator are coming...
Olga Mordvinova, Oleksandr Shepil, Thomas Ludwig 0...