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Advanced Information Systems Engineering : 34th International Conference, CAiSE 2022, Leuven, Belgium, June 6-10, 2022, Proceedings / edited by Xavier Franch, Geert Poels, Frederik Gailly, Monique Snoeck.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Franch, Xavier, Editor.
Poels, Geert, Editor.
Gailly, Frederik, Editor.
Snoeck, Monique, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science 1611-3349 ; 13295
Lecture Notes in Computer Science, 1611-3349 ; 13295
Language:
English
Subjects (All):
Application software.
Computers.
Software engineering.
Database management.
Computer science.
Computer and Information Systems Applications.
Computing Milieux.
Software Engineering.
Database Management.
Theory of Computation.
Local Subjects:
Computer and Information Systems Applications.
Computing Milieux.
Software Engineering.
Database Management.
Theory of Computation.
Physical Description:
1 online resource (XVIII, 562 pages) : 146 illustrations, 85 illustrations in color.
Edition:
1st ed. 2022.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2022.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the 34th International Conference on Advanced Information Systems Engineering, CAiSE 2022, which was held in Leuven, Belgium, during June 6-10, 2022. The 31 full papers included in these proceedings were selected from 203 submissions. They were organized in topical sections as follows: Process mining; sustainable and explainable applications; tools and methods to support research and design; process modeling; natural language processing techniques in IS engineering; process monitoring and simulation; graph and network models; model analysis and comprehension; recommender systems; conceptual models, metamodels and taxonomies; and services engineering and digitalization.
Contents:
Process mining
Decision Mining with Time Series Data Based on Automatic Feature Generation
Inferring A Multi-Perspective Likelihood Graph from Black-Box Next Event Predictors
Bootstrapping Generalization of Process Models Discovered From Event Data
Learning Accurate Business Process SimulationModels from Event Logs via Automated Process Discovery and Deep Learning
Multi-perspective Process Analysis: Mining the Association between Control Flow and Data Objects
Sustainable and explainable applications
Towards Greener Applications: Enabling Sustainable-aware Cloud Native Applications Design
Towards Explainable Artificial Intelligence in Financial Fraud Detection: Using Shapley Additive Explanations to Explore Feature Importance
Tools and methods to support research and design
Systematic Literature Review Search Query Refinement Pipeline: Incremental Enrichment and Adaptation
A model-driven approach for systematic reproducibility and replicability of data science projects
The Aircraft and its Manufacturing System: From Early Requirements to Global Design
Process modeling
Causal Reasoning over Decisions in Process Models
Crop Harvest Forecast via Agronomy-informed Process Modelling and Predictive Monitoring
Guiding Knowledge Workers under Dynamic Contexts
Natural language processing techniques in IS engineering
Context Knowledge-aware Recognition of Composite Intents in Task-oriented Human-Bot Conversations
Crowdsourcing syntactically diverse paraphrases with diversity-aware prompts and workflows
A Subject-aware Attention Hierarchical Tagger for Joint Entity and Relation Extraction
Process monitoring and simulation
Estimating Activity Start Timestamps in the presence of Waiting Times via Process Simulation
Updating prediction models for predictive process monitoring
Multi-Model Monitoring Framework for Hybrid Process Specifications
Graph and network models
Mining valuable collaborations from event data using the Recency-Frequency-Monetary principle
Querying temporal property graphs
A Supervised Learning Community Detection Method Based on Attachment Graph Model
Model analysis and comprehension
Soundness of data-aware processes with arithmetic conditions
Narration as a Technique to Improve Process Model Comprehension: Tell Me What I Cannot See
Analyzing Enterprise Architecture Models by Means of the Meta Attack Language
Recommender systems
Enhancing Semantics-Driven Recommender Systems with Visual Features
Assisting Mentors in Selecting Newcomers' Next Task in Software Product Lines: A Recommender System Approach
Conceptual models, metamodels and taxonomies
Towards Interoperable Metamodeling Platforms: The Case of Bridging ADOxx and EMF
Services engineering and digitalization Situation Awareness for Autonomous Vehicles Using Blockchain-based Service Cooperation
How Big Service and Internet of Services Drive Business Innovation and Transformation
Time-Cost Tradeoffs for Composed Services. .
Other Format:
Printed edition:
ISBN:
978-3-031-07472-1
9783031074721
Access Restriction:
Restricted for use by site license.

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