Process Mining Workshops : ICPM 2020 International Workshops, Padua, Italy, October 5-8, 2020, Revised Selected Papers / edited by Sander Leemans, Henrik Leopold.

Format:

Book

Contributor:

Leemans, Sander., Editor.

Leopold, Henrik, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in business information processing 1865-1356 ; 406

Lecture Notes in Business Information Processing, 1865-1356 ; 406

Language:

English

Subjects (All):

Data mining.

Data Mining and Knowledge Discovery.

Local Subjects:

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (XIV, 400 pages) : 152 illustrations, 101 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

This book constitutes revised selected papers from the International Workshops held at the Second International Conference on Process Mining, ICPM 2020, which took place during October 4-9, 2020. The conference was planned to take place in Padua, Italy, but had to be held online due to the COVID-19 pandemic. 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 29 papers included in this volume were carefully reviewed and selected from 59 submissions. They stem from the following workshops: 1st International Workshop on Event Data and Behavioral Analytics (EDBA) 1st International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) 1st International Workshop on Streaming Analytics for Process Mining (SA4PM'20) 5th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) 3rd International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) 1st International Workshop on Trust and Privacy in Process Analytics (TPPA).

Contents:

1st International Workshop on Event Data and Behavioral Analytics (EDBA)

Visually Representing History Dependencies in Event Logs

Analysis of Business Process Batching using Causal Event Models

Process Procespecting to Improve Renewable Energy Interconnection Queues: A Case Study

Automated Discovery of Process Models with True Concurrency and Inclusive Choices

A Novel Approach to Discover Switch Behaviours in Process Mining

Process Model Discovery from Sensor Event Data

Unsupervised Event Abstraction in a Process Mining Context: A Benchmark Study

1st International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)

Predicting Remaining Cycle Time from Ongoing Cases: A Survival Analysis-based Approach

Time Matters:Time-Aware LSTMs for Predictive Business Process Monitoring

A preliminary study on the application of Reinforcement Learning for Predictive Process Monitoring

An Alignment Cost-Based Classi cation of Log Traces Using Machine-Learning

Improving the Extraction of Process Annotations from Text with Inter-Sentence Analysis

Case2vec: Advances in Representation Learning for Business Processes

Supervised Conformance Checking using Recurrent Neural Network Classifiers

1st International Workshop on Streaming Analytics for Process Mining (SA4PM'20)

Online Anomaly Detection Using Statistical Leverage for Streaming Business Process Events

Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation

OTOSO: Online Trace Ordering for Structural Overviews

Performance Skyline: Inferring Process Performance Models from Interval Events

5th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2020)

Alignment Approximation for Process Trees

Stochastic Process Discovery By Weight Estimation

Graph-based Process Mining

Third International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)

A Process Mining approach to statistical analysis: application to a real-world advanced melanoma dataset

Process Mining of Disease Trajectories in MIMIC-III: A Case Study

The Need for Interactive Data-Driven Process Simulation in Healthcare: A Case Study

Process mining on the extended event log to analyse the system usage during healthcare processes (Case study: the GP Tab usage during chemotherapy treatments)

Process Mining on FHIR - An Open Standards-Based Process Analytics Suite for Healthcare

Deriving a sophisticated clinical pathway based on patient conditions from electronic health record data

Exploration on How Global Warming Affects Emergency Services

1st Workshop on Trust and Privacy in Process Analytics (TPPA)

Towards Quantifying Privacy in Process Mining.

Other Format:

Printed edition:

ISBN:

978-3-030-72693-5

9783030726935

Access Restriction:

Restricted for use by site license.