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Advanced Information Systems Engineering: 34th International Conference, CAiSE 2022, Leuven, Belgium, June 610, 2022, Proceedings 1st ed. 2022 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 562 pages, height x width: 235x155 mm, weight: 878 g, 85 Illustrations, color; 61 Illustrations, black and white; XVIII, 562 p. 146 illus., 85 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13295
  • Izdošanas datums: 03-Jun-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031074718
  • ISBN-13: 9783031074714
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Advanced Information Systems Engineering: 34th International Conference, CAiSE 2022, Leuven, Belgium, June 610, 2022, Proceedings 1st ed. 2022Palielināt
  • Formāts: Paperback / softback, 562 pages, height x width: 235x155 mm, weight: 878 g, 85 Illustrations, color; 61 Illustrations, black and white; XVIII, 562 p. 146 illus., 85 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13295
  • Izdošanas datums: 03-Jun-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031074718
  • ISBN-13: 9783031074714
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031074714.html
Keywords:
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.

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.