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Proceedings Paper

RAPID: real-time analytics platform for interactive data-mining in a decision support scenario
Author(s): Michelle Vanni; Sue E. Kase; Shanika Karunasekara; Lucia Falzon; Aaron Harwood
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Paper Abstract

Real-time Analytics Platform for Interactive Data-mining (RAPID), a collaboration of University of Melbourne and Australia’s Defense Science and Technology Group (DSTG), consumes data streams, performs analytics computations, and produces high-quality knowledge for analysts. RAPID takes topic seed words and autonomously identifies emerging keywords in the data. Users direct the system, setting time-windowing parameters, thresholds, update intervals and sample rates. Apache Storm and Apache Kafka permit real-time streaming while logging options support off-line processing. Decision-support scenarios feature Commander Critical Information Requirements involving comparisons over time and time-sequencing of events, capabilities particularly well-served by RAPID technology, to be demonstrated in the presentation.

Paper Details

Date Published: 3 May 2017
PDF: 12 pages
Proc. SPIE 10207, Next-Generation Analyst V, 102070L (3 May 2017); doi: 10.1117/12.2263748
Show Author Affiliations
Michelle Vanni, U.S. Army Research Lab. (United States)
Sue E. Kase, U.S. Army Research Lab. (United States)
Shanika Karunasekara, The Univ. of Melbourne (Australia)
Lucia Falzon, Defence Science and Technology Group (Australia)
Aaron Harwood, The Univ. of Melbourne (Australia)


Published in SPIE Proceedings Vol. 10207:
Next-Generation Analyst V
Timothy P. Hanratty; James Llinas, Editor(s)

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