Process Mining Workshops : ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 - November 4, 2021, Revised Selected Papers / edited by Jorge Munoz-Gama, Xixi Lu.

Format:

Book

Contributor:

Muñoz Gama, Jorge, Editor.

Lu, Xixi., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in business information processing 1865-1356 ; 433

Lecture Notes in Business Information Processing, 1865-1356 ; 433

Language:

English

Subjects (All):

Data mining.

Information technology-Management.

Data Mining and Knowledge Discovery.

Business Process Management.

Computer Application in Administrative Data Processing.

Local Subjects:

Data Mining and Knowledge Discovery.

Business Process Management.

Computer Application in Administrative Data Processing.

Physical Description:

1 online resource (XIV, 410 pages) : 129 illustrations, 99 illustrations in color.

Edition:

1st ed. 2022.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

System Details:

text file PDF

Summary:

This open access book constitutes revised selected papers from the International Workshops held at the Third International Conference on Process Mining, ICPM 2021, which took place in Eindhoven, The Netherlands, during October 31-November 4, 2021. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 28 papers included in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops: 2nd International Workshop on Event Data and Behavioral Analytics (EDBA) 2nd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) 2nd International Workshop on Streaming Analytics for Process Mining (SA4PM) 6th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) 4th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) 2nd International Workshop on Trust, Privacy, and Security in Process Analytics (TPSA) One survey paper on the results of the XES 2.0 Workshop is included.

Contents:

Rethinking the Input for Process Mining: Insights from the XES Survey and Workshop

Probability Estimation of Uncertain Process Trace Realizations

Visualizing Trace Variants From Partially Ordered Event Data

Analyzing Multi-level BOM-structured Event Data

Linac: A Smart Environment Simulator of Human Activities

Root Cause Analysis in Process Mining with Probabilistic Temporal Logic

xPM: A Framework for Process Mining with Exogenous Data

A Bridging Model for Process Mining and IoT

Exploiting Instance Graphs and Graph Neural Networks for next activity prediction

Can deep neural networks learn process modelstructure? An assessment framework and analysis

Remaining Time Prediction for Processes with Inter-Case Dynamics

Event Log Sampling for Predictive Monitoring

Active Anomaly Detection for Key Item Selection in Process Auditing

Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach

Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring

Online Prediction of Aggregated Retailer Consumer Behaviour

PErrCas: Process Error Cascade Mining in Trace Streams

Continuous performance evaluation for business process outcome monitoring

An Event Data Extraction Approach from SAP ERP for Process Mining

Towards a Natural Language Conversational Interface for Process Mining

On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization

Verifying guideline compliance in clinical treatment using multi-perspective conformance checking: a case study

Patient Discharge Classification based on the Hospital Treatment Process

Combining the Clinical and Operational Perspectives in Heterogeneous Treatment E ect Inference in Healthcare Processes

Interactive Process Mining Applied in a Cardiology Outpatient Department

Discovering care pathways for multi-morbid patients using event graphs

Process Mining in Trusted Execution Environments: Towards Hardware Guarantees for Trust-aware Inter-organizational Process Analysis

Quantifying the Re-identification Risk in Published Process Models

Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities.

Other Format:

Printed edition:

ISBN:

978-3-030-98581-3

9783030985813

Access Restriction:

Restricted for use by site license.