Dataset Open Access

Artificial datasets for multi-perspective Declare analysis

Burattin, Andrea

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  <identifier identifierType="DOI">10.5281/zenodo.20030</identifier>
      <creatorName>Burattin, Andrea</creatorName>
      <affiliation>University of Innsbruck</affiliation>
    <title>Artificial datasets for multi-perspective Declare analysis</title>
    <subject>process mining</subject>
    <subject>event log</subject>
    <subject>event stream</subject>
    <subject>artificial dataset</subject>
    <date dateType="Issued">2015-07-13</date>
  <resourceType resourceTypeGeneral="Dataset"/>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <rights rightsURI="">Creative Commons Zero v1.0 Universal</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;This file&amp;nbsp;contains the dataset we used for the evaluation of the multi-perspective Declare analysis.&lt;/p&gt;


&lt;p&gt;In particular, it contains&amp;nbsp;logs with different sizes and different trace lengths. We generated traces with 10, 20, 30, 40, and 50 events and, for each of these lengths, we generated logs with 25000, 50000, 75000, and 100000 traces.&amp;nbsp;Therefore, in total, there are 20 logs.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Declare models&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;In addition, the dataset contains 10 Declare models. In particular, we prepared two models with 10 constraints, one only containing constraints on the control-flow (without conditions on data and time), and another one including real multi-perspective constraints (with conditions on time and data). We followed the same procedure to create models with 20, 30, 40, and 50 constraints.&lt;/p&gt;</description>
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