Business Process Management: Lecture Notes in Computer Science, cartea 14940
Editat de Andrea Marrella, Manuel Resinas, Mieke Jans, Michael Rosemannen Limba Engleză Paperback – 2 sep 2024
The 29 full papers included in this book were carefully reviewed and selected from 144 submissions. They were organized in topical sections as follows: Foundations; Engineering; and Management.
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Specificații
ISBN-13: 9783031703959
ISBN-10: 3031703952
Pagini: 588
Ilustrații: Approx. 500 p.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.88 kg
Ediția:2024
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031703952
Pagini: 588
Ilustrații: Approx. 500 p.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.88 kg
Ediția:2024
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
Foundations.- Optimizing Resource-Driven Process Configuration through Genetic Algorithms.- Data Petri Nets meet Probabilistic Programming.- Conformance Checking of Fuzzy Logs against Declarative Temporal Specifications.- Object Synchronizations and Specializations with Silent Objects in Object-Centric Petri Nets.- Glocal Conformance Checking.- On the interplay between BPMN collaborations and the physical environment.- Super Variants.- Repairing Process Models through Simulation and Explainable AI.- Improving Process Discovery Using Translucent Activity Relationships.- Engineering.- Optimizing Resource Allocation Policies in Real-World Business Processes using Hybrid Process Simulation and Deep Reinforcement Learning.- Exploiting general purpose big-data frameworks in process mining: the case of declarative process discovery.- Attention Please: What Transformer Models Really Learn for Process Prediction.- GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining.- Efficient Training of Recurrent Neural Networks for Remaining Time Prediction in Predictive Process Monitoring.- What’s Behind the Screen? Unveiling UI Hierarchies in Process-Related UI Logs.- Looking for Change: A Computer Vision Approach for Concept Drift Detection in Process Mining.- Mining Behavioral Patterns for Conformance Diagnostics.- xSemAD: Explainable Semantic Anomaly Detection in Event Logs Using Sequence-to-Sequence Models.- CoSMo: a Framework to Instantiate Conditioned Process Simulation Models.- Experience Based Resource Allocation for Remaining Time Optimization.- Uncovering patterns for local explanations in outcome-based Predictive Process Monitoring.- Beyond Log and Model Moves in Conformance Checking: Discovering Process-Level Deviation Patterns.- Management.- Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring.- Categories of Business Value of Robotic Process Automation: A Study of Benefits and Challenges.- Anticipating Data Inaccuracy Consequences in Business Processes: An Empirical Study.- SCP-BP Framework: Situational Crime Prevention for Managing Data Breaches in Business Processes.- LLM-Assisted Optimization of Waiting Time in Business Processes: A Prompting Method.- Exploring the Cognitive Effects of Ambiguity in Process Models.- Techno-empowerment of Process Automation: Understanding Employee Acceptance of Autonomous AI in Business Processes.