Process Mining Workshops (Record no. 175018)

MARC details
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001 - CONTROL NUMBER
control field 978-3-030-72693-5
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423125153.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030726935
-- 978-3-030-72693-5
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-72693-5
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D343
072 #7 - SUBJECT CATEGORY CODE
Subject category code UNF
Source bicssc
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Subject category code UYQE
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Subject category code COM021030
Source bisacsh
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Subject category code UNF
Source thema
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQE
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Edition number 23
245 10 - TITLE STATEMENT
Title Process Mining Workshops
Medium [electronic resource] :
Remainder of title ICPM 2020 International Workshops, Padua, Italy, October 5–8, 2020, Revised Selected Papers /
Statement of responsibility, etc edited by Sander Leemans, Henrik Leopold.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2021.
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2021.
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 400 p. 152 illus., 101 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Business Information Processing,
International Standard Serial Number 1865-1356 ;
Volume number/sequential designation 406
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc 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).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Mining and Knowledge Discovery.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Leemans, Sander.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Leopold, Henrik.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783030726928
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783030726942
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Business Information Processing,
-- 1865-1356 ;
Volume number/sequential designation 406
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-72693-5">https://doi.org/10.1007/978-3-030-72693-5</a>
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Koha item type eBooks-CSE-Springer

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