RAPID: real-time analytics platform for interactive data-mining in a decision support scenario

Michelle Vanni; Sue E. Kase; Shanika Karunasekara; Lucia Falzon; Aaron Harwood

doi:10.1117/12.2263748

3 May 2017 RAPID: real-time analytics platform for interactive data-mining in a decision support scenario

Michelle Vanni; Sue E. Kase; Shanika Karunasekara; Lucia Falzon; Aaron Harwood;

Author Affiliations +

Proceedings Volume 10207, Next-Generation Analyst V; 102070L (2017) https://doi.org/10.1117/12.2263748
Event: SPIE Defense + Security, 2017, Anaheim, California, United States

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.

Citation Download Citation

Michelle Vanni, Sue E. Kase, Shanika Karunasekara, Lucia Falzon, Aaron Harwood, "RAPID: real-time analytics platform for interactive data-mining in a decision support scenario", Proc. SPIE 10207, Next-Generation Analyst V, 102070L (3 May 2017); doi: 10.1117/12.2263748; https://doi.org/10.1117/12.2263748

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