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[null,"1.","Record Nr.",null,"UNINA9910983087903321"]
[null,null,"Autore",null,"Comuzzi Marco"]
[null,null,"Titolo",null,"Cooperative Information Systems : 30th International Conference, CoopIS 2024, Porto, Portugal, November 19–21, 2024, Proceedings / / edited by Marco Comuzzi, Daniela Grigori, Mohamed Sellami, Zhangbing Zhou"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"9783031813757"]
[{"$nulls":4},"3031813758"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (652 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 15506"]
[null,null,"Disciplina",null,"004.36"]
[null,null,"Soggetti",null,"Application software"]
[{"$nulls":4},"Data structures (Computer science)"]
[{"$nulls":4},"Information theory"]
[{"$nulls":4},"Software engineering"]
[{"$nulls":4},"Computers"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Data Structures and Information Theory"]
[{"$nulls":4},"Software Engineering"]
[{"$nulls":4},"Computing Milieux"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- Invited Speakers.  -- Business Models, Business Processes and Information Systems: A Dynamic Network View.  -- Machine Learning and Generative AI in BPM: Recent Developments and Emerging Challenges.  -- Processes and Human-in-the-loop.  -- Using Eye-Tracking to Detect Search and Inference During Process Model Comprehension.  -- Conversationally Actionable Process Model Creation.  -- Event Log Extraction for Process Mining Using Large Language Models.  -- Process Analytics and Technology.  -- All Optimal k-Bounded Alignments Using the FM-Index.  -- Unsupervised Anomaly Detection of Prefixes in Event Streams Using Online Autoencoders.  -- Autoencoder-Based Detection of Delays, Handovers and Workloads over High-Level Events.  -- Process Improvement.  -- "]
[{"$nulls":4},"SwiftMend: An Approach to Detect and Repair Activity Label Quality Issues in Process Event Streams.  -- Towards Fairness-Aware Predictive Process Monitoring: Evaluating Bias Mitigation Techniques.  -- Knowledge Graphs and Knowledge Engineering.  -- A User-Driven Hybrid Neuro-Symbolic Approach for Knowledge Graph Creation from Relational Data.  -- Assisted Data Annotation for Business Process Information Extraction from Textual Documents.  -- FleX: Interpreting Graph Neural Networks with Subgraph Extraction and Flexible Objective Estimation.  -- Predictive Process Monitoring.  -- Handling Catastrophic Forgetting: Online Continual Learning for next Activity Prediction.  -- A Decomposed Hybrid Approach to Business Process Modeling with LLMs.  -- Services and Cloud.  -- Self-Organising Approach to Anomaly Mitigation in the Cloud-to-Edge Continuum.  -- TALOS: Task Level Autoscaler for Apache Flink.  -- Automating Pathway Extraction from Clinical Guidelines: A Conceptual Model, Datasets and Initial Experiments.  -- Short Papers.  -- IML4DQ: Interactive Machine Learning for Data Quality with Applications in Credit Risk.  -- Optimizing B-trees for Memory-Constrained Flash Embedded Devices.  -- Predictive Process Approach for Email Response Recommendations.  -- Achieving Fairness in Predictive Process Analytics via Adversarial Learning.  -- Enhancing Temporal Knowledge Graph Reasoning with Contrastive Learning and Self-Attention Mechanisms.  -- Graph Convolution Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs.  -- Collaboration Miner: Discovering Collaboration Petri Nets.  -- Discovering Order-Inducing Features in Event Knowledge Graphs.  -- LabelIT: A Multi-Cloud Resource Label Unification Tool.  -- Nala2BPMN: Automating BPMN Model Generation with Large Language Models.  -- TeaPie: A Tool for Efficient Annotation of Process Information Extraction Data."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the 30th International Conference on Cooperative Information Systems, CoopIS 2024, held in Porto, Portugal, during November 19-21, 2024. The 16 full papers, 11 short papers and 2 invited papers were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: processes and human-in-the-loop; process analytics and technology; process improvement; knowledge graphs and knowledge engineering; predictive process monitoring; services and cloud; and short papers. ."]