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Process Mining Workshops

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Cover of 'Process Mining Workshops'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Do You Behave Always the Same?
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    Chapter 2 Enhancing Data-Awareness of Object-Centric Event Logs
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    Chapter 3 Multi-perspective Identification of Event Groups for Event Abstraction
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    Chapter 4 Detecting Complex Anomalous Behaviors in Business Processes: A Multi-perspective Conformance Checking Approach
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    Chapter 5 A Survey on the Application of Process Mining to Smart Spaces Data
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    Chapter 6 Building User Journey Games from Multi-party Event Logs
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    Chapter 7 Leveraging Event Data for Measuring Process Complexity
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    Chapter 8 Discrimination-Aware Process Mining: A Discussion
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    Chapter 9 TraVaS: Differentially Private Trace Variant Selection for Process Mining
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    Chapter 10 BERMUDA: Participatory Mapping of Domain Activities to Event Data via System Interfaces
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    Chapter 11 Predicting Activities of Interest in the Remainder of Customer Journeys Under Online Settings
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    Chapter 12 Uncovering Change: A Streaming Approach for Declarative Processes
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    Chapter 13 Deep Reinforcement Learning for Resource Allocation in Business Processes
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    Chapter 14 On the Potential of Textual Data for Explainable Predictive Process Monitoring
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    Chapter 15 Attribute-Based Conformance Diagnosis: Correlating Trace Attributes with Process Conformance
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    Chapter 16 Detecting Surprising Situations in Event Data
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    Chapter 17 LSTM-Based Anomaly Detection of Process Instances: Benchmark and Tweaks
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    Chapter 18 Genetic Algorithms for AutoML in Process Predictive Monitoring
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    Chapter 19 Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs
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    Chapter 20 Clustering Analysis and Frequent Pattern Mining for Process Profile Analysis: An Exploratory Study for Object-Centric Event Logs
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    Chapter 21 Weighted Violations in Alignment-Based Conformance Checking
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    Chapter 22 Event Log Generation in MIMIC-IV Research Paper
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    Chapter 23 Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study
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    Chapter 24 SAMPLE: A Semantic Approach for Multi-perspective Event Log Generation
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    Chapter 25 Research Paper: Process Mining and Synthetic Health Data: Reflections and Lessons Learnt
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    Chapter 26 Discovering Break Behaviours in Process Mining: An Application to Discover Treatment Pathways in ICU of Patients with Acute Coronary Syndrome
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    Chapter 27 Early Predicting the Need for Aftercare Based on Patients Events from the First Hours of Stay – A Case Study
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    Chapter 28 Predicting Patient Care Acuity: An LSTM Approach for Days-to-day Prediction
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    Chapter 29 Measuring the Impact of COVID-19 on Hospital Care Pathways
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    Chapter 30 Deriving Event Logs from Legacy Software Systems
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    Chapter 31 Defining Data Quality Issues in Process Mining with IoT Data
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    Chapter 32 Creating Translucent Event Logs to Improve Process Discovery
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    Chapter 33 SAP Signavio Academic Models: A Large Process Model Dataset
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    Chapter 34 A Virtual Knowledge Graph Based Approach for Object-Centric Event Logs Extraction
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    Chapter 35 Monitoring Constraints in Business Processes Using Object-Centric Constraint Graphs
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    Chapter 36 Aggregating Event Knowledge Graphs for Task Analysis
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    Chapter 37 A Combined Approach of Process Mining and Rule-Based AI for Study Planning and Monitoring in Higher Education
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    Chapter 38 Identifying the Steps in an Exploratory Data Analysis: A Process-Oriented Approach
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    Chapter 39 Discovering Students’ Learning Strategies in a Visual Programming MOOC Through Process Mining Techniques
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    Chapter 40 Domain-Driven Event Abstraction Framework for Learning Dynamics in MOOCs Sessions
  42. Altmetric Badge
    Chapter 41 Process Mining for Analyzing Open Questions Computer-Aided Examinations
  43. Altmetric Badge
    Chapter 42 Process Mining on Curriculum-Based Study Data: A Case Study at a German University
Attention for Chapter 7: Leveraging Event Data for Measuring Process Complexity
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Chapter title
Leveraging Event Data for Measuring Process Complexity
Chapter number 7
Book title
Process Mining Workshops
Published in
Lecture Notes in Business Information Processing, January 2023
DOI 10.1007/978-3-031-27815-0_7
Book ISBNs
978-3-03-127814-3, 978-3-03-127815-0
Authors

Vidgof, Maxim, Mendling, Jan

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Computer Science 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 February 2024.
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#17,732,227
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#1
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Outputs of similar age from Lecture Notes in Business Information Processing
#1
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