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» Managing large datasets with iRODS - a performance analyses
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SEMWEB
2010
Springer
14 years 7 months ago
Optimize First, Buy Later: Analyzing Metrics to Ramp-Up Very Large Knowledge Bases
As knowledge bases move into the landscape of larger ontologies and have terabytes of related data, we must work on optimizing the performance of our tools. We are easily tempted t...
Paea LePendu, Natalya Fridman Noy, Clement Jonquet...
EDM
2008
97views Data Mining» more  EDM 2008»
14 years 11 months ago
Using Item-type Performance Covariance to Improve the Skill Model of an Existing Tutor
Using data from an existing pre-algebra computer-based tutor, we analyzed the covariance of item-types with the goal of describing a more effective way to assign skill labels to it...
Philip I. Pavlik, Hao Cen, Lili Wu, Kenneth R. Koe...
SEDE
2010
14 years 7 months ago
BigCube: A Metamodel for Managing Multidimensional Data
New emerging scientific applications in geosciences, sensor and spatio-temporal domains require adaptive analysis frameworks that can handle large datasets with multiple dimension...
Ganesh Viswanathan, Markus Schneider
BMCBI
2010
121views more  BMCBI 2010»
14 years 7 months ago
A grammar-based distance metric enables fast and accurate clustering of large sets of 16S sequences
Background: We propose a sequence clustering algorithm and compare the partition quality and execution time of the proposed algorithm with those of a popular existing algorithm. T...
David J. Russell, Samuel F. Way, Andrew K. Benson,...
CORR
2010
Springer
70views Education» more  CORR 2010»
14 years 9 months ago
The Deterministic Dendritic Cell Algorithm
Abstract. The Dendritic Cell Algorithm is an immune-inspired algorithm originally based on the function of natural dendritic cells. The original instantiation of the algorithm is a...
Julie Greensmith, Uwe Aickelin