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New method enables cross-organizational process mining from message logs

Researchers have developed a new method for cross-organizational process mining using message logs. This approach focuses on analyzing communication between different processes, transforming message exchanges into event logs that preserve causal order. The synthesized event logs can then be used to construct Industry nets, which model collaborating business processes and their interactions. AI

IMPACT This research could improve inter-organizational collaboration and process analysis by enabling more effective mining of communication data.

RANK_REASON The cluster contains a research paper submitted to arXiv detailing a new methodology. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New method enables cross-organizational process mining from message logs

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The cluster contains a research paper submitted to arXiv detailing a new methodology. [lever_c_demoted from research: ic=1 ai=0.4]
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On-topic for AI-industry coverage; kept in the public index.
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42 days old
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COVERAGE [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Jetty Kleijn ·

    Cross-organisational Process Mining from Message Logs

    Enterprise nets and Industry nets are specific Petri net models that together form a framework for the modelling of collaborating business processes and the specification of interactions between them. In this set-up, individual business process are modelled as Enterprise nets, wh…