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    <title>Enterprise, Business-Process and Information Systems Modeling</title>
    <subTitle>25th International Conference, BPMDS 2024, and 29th International Conference, EMMSAD 2024, Limassol, Cyprus, June 3–4, 2024, Proceedings</subTitle>
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    <namePart>van der Aa, Han.</namePart>
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    <namePart>Bork, Dominik.</namePart>
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    <namePart>Schmidt, Rainer.</namePart>
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    <namePart>Sturm, Arnon.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>XX, 398 p. 106 illus., 69 illus. in color. online resource.</extent>
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  <abstract>This book contains the refereed proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise, business-process and information systems modeling: - the 25th International Conference on Business Process Modeling, Development and Support, BPMDS 2024, and - the 29th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2024. The conferences were taking place in Limassor, Cyprus, during June 3–4, 2024. For BPMDS 8 full papers and 3 short papers were carefully reviewed and selected for publication from a total of 25 submissions; for EMMSAD 11 full papers and 5 short papers were accepted from a total of 32 submissions after thorough reviews. The BPMDS papers deal with a broad range of theoretical and applications-based research in business process modeling, development and support. EMMSAD focusses on modeling methods for systems analysis and development.</abstract>
  <note type="statement of responsibility">edited by Han van der Aa, Dominik Bork, Rainer Schmidt, Arnon Sturm.</note>
  <subject authority="lcsh">
    <topic>Information technology</topic>
    <topic>Management</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Business information services</topic>
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  <subject authority="lcsh">
    <topic>Software engineering</topic>
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  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
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  <subject>
    <topic>Computer Application in Administrative Data Processing</topic>
  </subject>
  <subject>
    <topic>IT in Business</topic>
  </subject>
  <subject>
    <topic>Software Engineering</topic>
  </subject>
  <subject>
    <topic>Artificial Intelligence</topic>
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  <classification authority="lcc">HD30.19-.29</classification>
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    <titleInfo>
      <title>Lecture Notes in Business Information Processing, 511</title>
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  <identifier type="isbn">9783031610073</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-61007-3</identifier>
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