INFORE: Interactive Extreme-Scale Analytics and Forecasting (825070)
Published October 19, 2020 | Version v1
Conference paper Open

INforE: Interactive Cross-platform Analytics for Everyone

Creators

  • 1. Athena Research Center, Technical University of Crete
  • 2. RapidMiner GmbH
  • 3. Athena Research Center, Athens University of Economics and Business
  • 4. Barcelona Supercomputing Center
  • 5. Spring Techno GmbH & Co. KG

Description

We present INforE, a prototype supporting non-expert programmers in performing optimized, cross-platform, streaming analytics at scale. INforE offers: a) a new extension to the RapidMiner Studio for graphical design of Big streaming Data workflows, (b) a novel optimizer to instruct the execution of workflows across Big Data platforms and clusters, (c) a synopses data engine for interactivity at scale via the use of data summaries, (d) a distributed, online data mining and machine learning module. To our knowledge INforE is the first holistic approach in streaming settings. We demonstrate INforE in the fields of life science and financial data analysis.

Notes

Demo paper

Files

cikm2020b.pdf

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Additional details

Funding

European Commission
INFORE – Interactive Extreme-Scale Analytics and Forecasting 825070