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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
| 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 |
| Autore | Comuzzi Marco |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (652 pages) |
| Disciplina | 004.36 |
| Altri autori (Persone) |
GrigoriDaniela
SellamiMohamed ZhouZhangbing |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Data structures (Computer science) Information theory Software engineering Computers Artificial intelligence Computer and Information Systems Applications Data Structures and Information Theory Software Engineering Computing Milieux Artificial Intelligence |
| ISBN |
9783031813757
3031813758 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- 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. -- 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. |
| Record Nr. | UNINA-9910983087903321 |
Comuzzi Marco
|
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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
| 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 |
| Autore | Comuzzi Marco |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (652 pages) |
| Disciplina | 004.36 |
| Altri autori (Persone) |
GrigoriDaniela
SellamiMohamed ZhouZhangbing |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Data structures (Computer science) Information theory Software engineering Computers Artificial intelligence Computer and Information Systems Applications Data Structures and Information Theory Software Engineering Computing Milieux Artificial Intelligence |
| ISBN |
9783031813757
3031813758 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- 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. -- 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. |
| Record Nr. | UNISA-996647867703316 |
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Comuzzi Marco
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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