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Completed Theses
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
    • Model Repair by Incorporating Negative Instances In Process Enhancement
    • History-Aware Process Monitoring
    • Distinguishing Undesired and Desired Infrequent Behavior in Process Mining
    • Integration of MongoDB in PM4Py for Preprocessing Event Data and Discover Process Models
    • Big Data Process Mining in Python - Integration of Spark in PM4Py for Preprocessing Event Data and Discover Process Models
    • Improved Alignment Repair
    • Implementation of a Scalable Interactive Event Data Visualization in Python
    • You Are Here:Complex Event Processing on MongoDB
    • An Inductive Miner Implementation for the PM4Py Framework
    • Improving State-Space Traversal of the eST-Miner by Exploiting Underlying Log Structures
    • Localized Conformance and Performance Analysis based on Event Data: Diagnosing Individual Places
 

Complex Event Processing on MongoDB

Contact

Alessandro Berti

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Alessandro Berti

Software Engineer

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+49 241 80 21912

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Downloads

  • Bauerle_Thesis_Final (pdf: 1400 kb)

last updated: 24/11/2020

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