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D6.2 Interactive Learning and Complex Event Forecasting

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{
  "description": "<p>This document presents the progress of the INFORE project with respect to Interactive, Online Learning and Data</p>\n\n<p>Mining and Distributed Complex Event Forecasting.</p>\n\n<p>The reader is expected to be familiar with Complex Event Processing, Artificial Intelligence and Distributed processing</p>\n\n<p>techniques, as well as the general intent and concept of the INFORE project. The target readership is:</p>\n\n<ul>\n\t<li>INFORE researchers</li>\n\t<li>INFORE audit</li>\n</ul>\n\n<p>INFORE focuses on scalable event recognition, forecasting and machine learning of event definitions for extreme scale</p>\n\n<p>analytics. This document presents the current advancements and discusses the scientific and technological issues that</p>\n\n<p>are being investigated inWork-Package 6, with respect to Interactive, Online Learning and Data Mining and Distributed</p>\n\n<p>Complex Event Forecasting.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "@type": "Person", 
      "name": "Project consortium members"
    }
  ], 
  "url": "https://zenodo.org/record/4249007", 
  "datePublished": "2020-04-30", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.4249007", 
  "@id": "https://doi.org/10.5281/zenodo.4249007", 
  "@type": "CreativeWork", 
  "name": "D6.2 Interactive Learning and Complex Event Forecasting"
}
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