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Activity Number: 307
Type: Invited
Date/Time: Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
Sponsor: JCGS-Journal of Computational and Graphical Statistics
Abstract - #303661
Title: Developing Systems for Real-Time Streaming Analysis
Author(s): Sarah Michalak*+
Companies: Los Alamos National Laboratory
Address: PO Box 1663 MS F600, Los Alamos, NM, 87545, USA
Keywords: Streaming Data ; Massive Datasets ; Real-Time Methods ; Radio astronomy

Sources of streaming data are proliferating and so are the demands to analyze and mine streaming data in real time. Statistical methods frequently form the core of real-time analysis and therefore statisticians increasingly encounter the challenges and implicit requirements of real-time systems. This talk describes a broad process for development and implementation of streaming algorithms, beginning with exploratory data analysis in a flexible computing environment, followed by concrete specification of a computational algorithm and its initial implementation, and culminating in successive improvements to computational efficiency and throughput. This sequential development embodies a collaboration between statisticians, domain scientists, and the computer engineers developing the real-time system. The process is illustrated in the context of a radio-astronomy challenge to mitigate adverse impacts of radio frequency interference in searches for high-energy impulses from distant sources.

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