Tag Archives: Data-intensive computing

Large Scale Data Mining using Genetics-Based Machine Learning

Below you may find the slides of the GECCO 2009 tutorial that Jaume Bacardit and I put together. Hope you enjoy it.
Slides
Abstract
We are living in the peta-byte era.We have larger and larger data to analyze, process and transform into useful answers for the domain experts. Robust data mining tools, able to cope with petascale volumes […]

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  1. Observer-Invariant Histopathology using Genetics-Based Machine Learning
  2. Deadline extended for special issue on Metaheuristics for Large Scale Data Mining
  3. [BDCSG2008] Algorithmic Perspectives on Large-Scale Social Network Data (Jon Kleinberg)

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Data-Intensive Computing for Competent Genetic Algorithms: A Pilot Study using Meandre

Below you may find the slides I used during GECCO 2009 to present the paper titled “Data-Intensive Computing for Competent Genetic Algorithms: A Pilot Study using Meandre”. An early preprint in form of technical report can be found as an IlliGAL TR No. 2009001 or the full paper at the ACM digital library

Related […]

Related posts:

  1. Data-Intensive Computing for Competent Genetic Algorithms: A Pilot Study using Meandre
  2. Meandre: Semantic-Driven Data-Intensive Flows in the Clouds
  3. Scaling Genetic Algorithms using MapReduce

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Efficient serialization for Java (and beyond)


I am currently working on the distributed execution of flows as part of the Meandre infrastructure—as a part of the SEASR project. One of the pieces to explore is how to push data between machines. No, I am not going to talk about network protocols and the like here, but how you can pass the […] Continue reading

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Data-Intensive Computing for Competent Genetic Algorithms: A Pilot Study using Meandre

by Llorà, X.
IlliGAL technical report 2009001. You can download the pdf here. More information is also available at the Meandre website as part of the SEASR project.
Abstract: Data-intensive computing has positioned itself as a valuable programming paradigm to efficiently approach problems requiring processing very large volumes of data. This paper presents a pilot study about how to apply the data-intensive computing […] Continue reading

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Data-Intensive Computing for Competent Genetic Algorithms: A Pilot Study using Meandre

Abstract: Data-intensive computing has positioned itself as a valuable programming paradigm to efficiently approach problems requiring processing very large volumes of data. This paper presents a pilot study about how to apply the data-intensive computing paradigm to evolutionary computation algorithms. Two representative cases—selectorecombinative genetic algorithms and estimation of distribution algorithms—are presented, analyzed, discussed. This study […] Continue reading

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