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 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2017
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.