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Process Mining Workshops = ICPM 2020 International Workshops, Padua, Italy, October 5–8, 2020, Revised Selected Papers /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Process Mining Workshops/ edited by Sander Leemans, Henrik Leopold.
Reminder of title:	ICPM 2020 International Workshops, Padua, Italy, October 5–8, 2020, Revised Selected Papers /
other author:	Leemans, Sander.
Description:	XIV, 400 p. 152 illus., 101 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Data mining. -
Online resource:	https://doi.org/10.1007/978-3-030-72693-5
ISBN:	9783030726935

Process Mining Workshops = ICPM 2020 International Workshops, Padua, Italy, October 5–8, 2020, Revised Selected Papers /
Process Mining WorkshopsICPM 2020 International Workshops, Padua, Italy, October 5–8, 2020, Revised Selected Papers /[electronic resource] :edited by Sander Leemans, Henrik Leopold. - 1st ed. 2021. - XIV, 400 p. 152 illus., 101 illus. in color.online resource. - Lecture Notes in Business Information Processing,4061865-1348 ;. - Lecture Notes in Business Information Processing,206.

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.

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).

ISBN: 9783030726935

Standard No.: 10.1007/978-3-030-72693-5doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Process Mining Workshops = ICPM 2020 International Workshops, Padua, Italy, October 5–8, 2020, Revised Selected Papers /
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