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Large Scale Simulation and Data Analysis
Computing in Civil Engineering (2005), 2005Information Technologies (IT) are increasingly allowing for advances in monitoring and analysis of structural response. Sensor networks can provide real-time data streams, as a basis for system identification and decision-making. Fusion of video-derived information along with motion and strain sensors is already showing much promise.
A. Elgamal +4 more
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Analysis of large scale climate data
Proceedings of the 22nd International Conference on World Wide Web, 2013Research on global warming and climate changes has attracted a huge attention of the scientific community and of the media in general, mainly due to the social and economic impacts they pose over the entire planet. Climate change simulation models have been developed and improved to provide reliable data, which are employed to forecast effects of ...
Santiago A. Nunes +7 more
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2014
As data sets grow in size and complexity, global analysis methods do not necessarily characterize the phenomena of interest, and scientists are increasingly reliant on feature-based analysis methods to study the results of large-scale simulations. This chapter presents a framework that efficiently encodes the set of all possible features in a hierarchy
Janine Bennett +3 more
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As data sets grow in size and complexity, global analysis methods do not necessarily characterize the phenomena of interest, and scientists are increasingly reliant on feature-based analysis methods to study the results of large-scale simulations. This chapter presents a framework that efficiently encodes the set of all possible features in a hierarchy
Janine Bennett +3 more
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Proceedings of the 2012 ACM conference on Computer and communications security, 2012
DNS data is increasingly used in security analysis, intrusion detection, and research. Even small DNS collection systems can generate enormous amounts of DNS traffic, requiring tera-scale storage. As a result, researchers looking at DNS traffic must often develop real-time, in-line analysis tools.
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DNS data is increasingly used in security analysis, intrusion detection, and research. Even small DNS collection systems can generate enormous amounts of DNS traffic, requiring tera-scale storage. As a result, researchers looking at DNS traffic must often develop real-time, in-line analysis tools.
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Large-scale visual data analysis
2012 IEEE 26th International Parallel and Distributed Processing Symposium, 2012Summary form only give, as follows. Modern high performance computers have speeds measured in petaflops and handle data set sizes measured in terabytes and petabytes. Although these machines offer enormous potential for solving very large-scale realistic computational problems, their effectiveness will hinge upon the ability of human experts to ...
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Association Analysis for Large-Scale Gene Set Data
2007High-throughput experiments in biology often produce sets of genes of potential interests. Some of those gene sets might be of considerable size. Therefore, computer-assisted analysis is necessary for the biological interpretation of the gene sets, and for creating working hypotheses, which can be tested experimentally.
Stefan A, Kirov +2 more
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Clustering analysis for large scale data sets
International Conference on Computing, Communication & Automation, 2015The real-world big data can be clustered along desired dimensions but it is limited in its applicability to large-scale problems due to its high computational complexity, user's desire, number of dimensions etc. Recently, many approaches have been proposed to accelerate the large scale data clustering.
Sachin Singh, Ashish Mishra
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