Workshop on Algorithms for Modern Massive Datasets
نویسندگان
چکیده
Applications: analyzing microarray data and high-throughput chemical data in pharmaceutical applications; identifying gene products, elucidating protein folding pathways; detecting and classifying cancer; modeling combinatorial structure of large social, computer, and communication networks; identifying potential terrorist cells in communications networks; identifying noisy images of targets and faces in realistic settings; improving internet search engines; analyzing remote sensing data for environmental planning, weather forecasting, and public health contamination
منابع مشابه
MMDS 2014: Workshop on Algorithms for Modern Massive Data Sets
The 2014 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2014) will address algorithmic and statistical challenges in modern large-scale data analysis. The goals of MMDS 2014 are to explore novel techniques for modeling and analyzing massive, high-dimensional, and nonlinearly-structured scientific and internet data sets; and to bring together computer scientists, statisticians, mathem...
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We provide a report for the ACM SIGKDD community about the 2008 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2008), its origin in MMDS 2006, and future directions for this interdisciplinary research area.
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A report is provided for the ACM SIGKDD community about the 2010 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2010), its origin in MMDS 2006 and MMDS 2008, and future directions for this interdisciplinary research area.
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The 2008 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2008), held at Stanford University, June 25–28, had two goals: first, to explore novel techniques for modeling and analyzing massive, high-dimensional, and nonlinearly structured scientific and Internet data sets, and second, to bring together computer scientists, statisticians, mathematicians, and data analysis practitioners to...
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