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D6.2 Interactive Learning and Complex Event Forecasting

Project consortium members


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4249007", 
  "author": [
    {
      "family": "Project consortium members"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2020, 
        4, 
        30
      ]
    ]
  }, 
  "abstract": "<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>", 
  "title": "D6.2 Interactive Learning and Complex Event Forecasting", 
  "type": "report", 
  "id": "4249007"
}
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