Conference Proceedings

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

Michelle Vanni, Sue E Kase, Shanika Karunasekera, Lucia Falzon, Aaron Harwood, TP Hanratty (ed.), J Llinas (ed.)

Proceedings of SPIE - International Society for Optical Engineering | SPIE-INT SOC OPTICAL ENGINEERING | Published : 2017

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-s..

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