[Next-Generation Sequencing Book]
  • [Photo] Di Fatta Giuseppe • March 26, 2005
    International Workshop on Distributed Data Mining in Life Science
    LOCALE: Konstanz, Germany
    DATE: September 25, 2005

    IMPORTANT DATES

    Paper submission: May 15th, 2005 (12pm GMT)
    Notification: June 27th, 2005
    Camera ready due: July 11th, 2005
    Workshop: Sept. 25th, 2005

    AREA & SCOPE

    The workshop focuses on the emerging field of high performance, distributed, parallel and grid-based data mining methods and their applications in Life Sciences. The workshop is aimed at bringing together ideas and research efforts from the various areas of distributed computing and data mining to converge towards large-scale and high performance applications in Computational Life Science. Large-scale distributed computing infrastructures and highly-scalable algorithms are needed to make the whole knowledge discovery process scalable and interactive. Life Science applications are very demanding in terms of computing and storage requirements. The emergence of grid architectures and standards provide access to an unprecedented amount of computing resources. Distributed and high-performance approaches are becoming an essential component in data mining and data exploration in Life Sciences.

    Application areas include, but are not limited to:
    • Computational Biology and Bioinformatics
    • Computational Genomics and Proteomics
    • Computational Chemistry
    • Computational Medicine and Bioengineering

    TOPICS

    Topics of interest include, but are not limited to:
    • Distributed and parallel computing in life sciences
    • Distributed and parallel data mining algorithms and frameworks
    • Grid and peer-to-peer computing in data mining
    • Systems and tools for distributed data mining and data exploration
    • Efficient, scalable mining algorithms
    • Techniques for incremental, exploratory and interactive mining
    • Challenges and initiatives in large-scale data analysis
    • Mining distributed datasets

    FOR MORE INFORMATION

    http://www.inf.uni-konstanz.de/lifeddm05
    Email: lifeddm[at]inf.uni-konstanz.de

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