3 May 2017 RAPID: real-time analytics platform for interactive data-mining in a decision support scenario
Author Affiliations +
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
12 PAGES


SHARE
Back to Top