Project deliverable Open Access

D6.2 Interactive Learning and Complex Event Forecasting

Project consortium members


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  <identifier identifierType="DOI">10.5281/zenodo.4249007</identifier>
  <creators>
    <creator>
      <creatorName>Project consortium members</creatorName>
    </creator>
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  <titles>
    <title>D6.2 Interactive Learning and Complex Event Forecasting</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <dates>
    <date dateType="Issued">2020-04-30</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Project deliverable</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4249007</alternateIdentifier>
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  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4249006</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/infore-project</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This document presents the progress of the INFORE project with respect to Interactive, Online Learning and Data&lt;/p&gt;

&lt;p&gt;Mining and Distributed Complex Event Forecasting.&lt;/p&gt;

&lt;p&gt;The reader is expected to be familiar with Complex Event Processing, Artificial Intelligence and Distributed processing&lt;/p&gt;

&lt;p&gt;techniques, as well as the general intent and concept of the INFORE project. The target readership is:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;INFORE researchers&lt;/li&gt;
	&lt;li&gt;INFORE audit&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;INFORE focuses on scalable event recognition, forecasting and machine learning of event definitions for extreme scale&lt;/p&gt;

&lt;p&gt;analytics. This document presents the current advancements and discusses the scientific and technological issues that&lt;/p&gt;

&lt;p&gt;are being investigated inWork-Package 6, with respect to Interactive, Online Learning and Data Mining and Distributed&lt;/p&gt;

&lt;p&gt;Complex Event Forecasting.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/825070/">825070</awardNumber>
      <awardTitle>Interactive Extreme-Scale Analytics and Forecasting</awardTitle>
    </fundingReference>
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