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Business Process Management de Thomas Hildebrandt

Business Process Management: Lecture Notes in Computer Science, cartea 11675

Editat de Thomas Hildebrandt, Boudewijn F. van Dongen, Maximilian Röglinger, Jan Mendling
en Limba Engleză Paperback – 23 iul 2019
This book constitutes the proceedings of the 17th International Conference on Business Process Management, BPM 2019, held in Vienna, Austria, in September 2019.
The 23 full and 4 tutorial short papers included in this volume were carefully reviewed and selected from 115 submissions. The papers were organized in topical sections named: foundations; engineering; and management. 
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Specificații

ISBN-13: 9783030266189
ISBN-10: 3030266184
Pagini: 460
Ilustrații: XXI, 438 p. 404 illus., 85 illus. in color.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.69 kg
Ediția:1st ed. 2019
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Tutorials.- Everything You Always Wanted To Know About Petri Nets, But Were Afraid To Ask.- Responsible Process Mining - A Data Quality Perspective.- IoT for BPMers. Challenges, case studies and successful applications.- Exploring Explorative BPM - Setting the Ground for Future Research.- Foundations.- Dynamic Reconfiguration of Business Processes.- A First-Order Logic Semantics for Communication-Parametric BPMN Collaborations.- Modeling and Enforcing Blockchain-Based Choreographies.- Formal Reasoning on Natural Language Descriptions of Processes.- Goal-oriented Process Enhancement and Discovery.- Checking Regulatory Compliance: Will We Live to See It.- Modelling and Reasoning over Declarative Data-Aware Processes with Object-Centric Behavioral Constraints.- Formal Modeling and SMT-Based Parameterized Verification of Data-Aware BPMN.- Engineering.- Estimating Process Conformance by Trace Sampling and Result Approximation.- Trace Clustering on Very Large Event Data in Healthcare using Frequent Sequence Patterns.- ProcessExplorer: Intelligent Process Mining Guidance.- Machine Learning-Based Framework for Log-Lifting in Business Process Mining Applications.- Approximate Computation of Alignments of Business Processes through Relaxation Labelling.- Metaheuristic Optimization for Automated Business Process Discovery.- Learning Accurate LSTM Models of Business Processes.- Management.- Trust-aware Process Design.- Mining Process Mining Practices: An Exploratory Characterization of Information Needs in Process Analytics.- Towards a Process Reference Model for Research Management: An Action Design Research effort at an Australian University.- What the Hack? - Towards a Taxonomy of Hackathons.- Design Patterns for Business Process Individualization.- Understanding the Alignment of Employee Appraisals and Rewards with Business Processes.- Business Process Improvement Activities: Differences in Organizational Size, Culture, and Resources.- Regulatory Instability, BusinessProcess Management Technology, and BPM Skill Configurations.