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1st Middleware Doctoral Symposium
| 1st Middleware Doctoral Symposium |
| Autore | Kon Fabio |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2004 |
| Descrizione fisica | 1 online resource (43 pages) |
| Collana | ACM Other conferences |
| Soggetto topico |
Engineering & Applied Sciences
Computer Science |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Proceedings of the 1st International Doctoral Symposium on Middleware
DSM '04 proceedings of the 1st International Doctoral Symposium on Middleware |
| Record Nr. | UNINA-9910375915103321 |
Kon Fabio
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| [Place of publication not identified], : ACM, 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Spaces : Design, Deployment and Future Directions / / edited by Edward Curry, Simon Scerri, Tuomo Tuikka
| Data Spaces : Design, Deployment and Future Directions / / edited by Edward Curry, Simon Scerri, Tuomo Tuikka |
| Autore | Curry Edward |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (XX, 357 p. 77 illus., 59 illus. in color.) |
| Disciplina | 005.74 |
| Soggetto topico |
Database management
Quantitative research Application software Computer systems Data protection Database Management Data Analysis and Big Data Computer and Information Systems Applications Computer System Implementation Data and Information Security |
| Soggetto non controllato |
Data Platforms
Data Spaces Data Sharing Data Lifecycle Platform Architectures Data Life Cycle Regulatory Compliance |
| ISBN | 3-030-98636-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Spaces: Design, Deployment, and Future Directions -- Part I: Design -- An Organizational Maturity Model for Data Spaces: A Data Sharing Wheel Approach -- Data Platforms for Data Spaces -- Technological Perspective of Data Governance in Data Space Ecosystems -- Increasing Trust for Data Spaces with Federated Learning -- KRAKEN: A Secure, Trusted, Regulatory-Compliant, and Privacy-Preserving Data Sharing Platform -- Connecting Data Spaces and Data Marketplaces and the Progress Toward the European Single Digital Market with Open-Source Software -- AI-Based Hybrid Data Platforms -- Part II: Deployment -- A Digital Twin Platform for Industrie 4.0 -- A Framework for Big Data Sovereignty: The European Industrial Data Space (EIDS) -- Deploying a Scalable Big Data Platform to Enable a Food Safety Data Space -- Data Space Best Practices for Data Interoperability in FinTechs -- TIKD: A Trusted Integrated Knowledge Dataspace for Sensitive Data Sharing and Collaboration -- Toward an Energy Data Platform Design: Challenges and Perspectives from the SYNERGY Big Data Platform and AI Analytics Marketplace -- Part III: Future Directions -- Privacy-Preserving Techniques for Trustworthy Data Sharing: Opportunities and Challenges for Future Research -- Common European Data Spaces: Challenges and Opportunities. |
| Record Nr. | UNISA-996490356503316 |
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Curry Edward
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| Cham, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Data Spaces : Design, Deployment and Future Directions / / edited by Edward Curry, Simon Scerri, Tuomo Tuikka
| Data Spaces : Design, Deployment and Future Directions / / edited by Edward Curry, Simon Scerri, Tuomo Tuikka |
| Autore | Curry Edward |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (XX, 357 p. 77 illus., 59 illus. in color.) |
| Disciplina | 005.74 |
| Soggetto topico |
Database management
Quantitative research Application software Computer systems Data protection Database Management Data Analysis and Big Data Computer and Information Systems Applications Computer System Implementation Data and Information Security |
| Soggetto non controllato |
Data Platforms
Data Spaces Data Sharing Data Lifecycle Platform Architectures Data Life Cycle Regulatory Compliance |
| ISBN | 3-030-98636-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Spaces: Design, Deployment, and Future Directions -- Part I: Design -- An Organizational Maturity Model for Data Spaces: A Data Sharing Wheel Approach -- Data Platforms for Data Spaces -- Technological Perspective of Data Governance in Data Space Ecosystems -- Increasing Trust for Data Spaces with Federated Learning -- KRAKEN: A Secure, Trusted, Regulatory-Compliant, and Privacy-Preserving Data Sharing Platform -- Connecting Data Spaces and Data Marketplaces and the Progress Toward the European Single Digital Market with Open-Source Software -- AI-Based Hybrid Data Platforms -- Part II: Deployment -- A Digital Twin Platform for Industrie 4.0 -- A Framework for Big Data Sovereignty: The European Industrial Data Space (EIDS) -- Deploying a Scalable Big Data Platform to Enable a Food Safety Data Space -- Data Space Best Practices for Data Interoperability in FinTechs -- TIKD: A Trusted Integrated Knowledge Dataspace for Sensitive Data Sharing and Collaboration -- Toward an Energy Data Platform Design: Challenges and Perspectives from the SYNERGY Big Data Platform and AI Analytics Marketplace -- Part III: Future Directions -- Privacy-Preserving Techniques for Trustworthy Data Sharing: Opportunities and Challenges for Future Research -- Common European Data Spaces: Challenges and Opportunities. |
| Record Nr. | UNINA-9910592294803321 |
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Curry Edward
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| Cham, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III / / edited by Ulf Brefeld, Edward Curry, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, Neil Hurley
| Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III / / edited by Ulf Brefeld, Edward Curry, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, Neil Hurley |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXXI, 706 p. 332 illus., 194 illus. in color.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Computer organization Application software Computer security Computer crimes Data Mining and Knowledge Discovery Artificial Intelligence Computer Systems Organization and Communication Networks Computer Appl. in Social and Behavioral Sciences Systems and Data Security Computer Crime |
| ISBN | 3-030-10997-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ADS Data Science Applications -- Neural Article Pair Modeling for Wikipedia Sub-article Matching -- LinNet: Probabilistic Lineup Evaluation Through Network Embedding -- Improving Emotion Detection with Sub-clip Boosting -- Machine Learning for Targeted Assimilation of Satellite Data -- From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth -- Discovering Groups of Signals in In-Vehicle Network Traces for Redundancy Detection and Functional Grouping -- ADS E-commerce -- SPEEDING up the Metabolism in E-commerce by Reinforcement Mechanism DESIGN -- Intent-aware Audience Targeting for Ride-hailing Service -- A Recurrent Neural Network Survival Model: Predicting Web User Return Time -- Implicit Linking of Food Entities in Social Media -- A Practical Deep Online Ranking System in E-commerce Recommendation -- ADS Engineering and Design -- ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction -- Automating Layout Synthesis with Constructive Preference Elicitation -- Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems -- Learning Cheap and Novel Flight Itineraries -- Towards Resource-Efficient Classifiers for Always-On Monitoring -- ADS Financial / Security -- Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series -- Using Reinforcement Learning to Conceal Honeypot Functionality -- Flexible Inference for Cyberbully Incident Detection -- Solving the \false positives" problem in fraud prediction - Automated Data Science at an Industrial Scale -- Learning Tensor-based Representations from Brain-Computer Interface Data for Cybersecurity -- ADS Health -- Can We Assess Mental Health through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation -- AMIE: Automatic Monitoring of Indoor Exercises -- Rough Set Theory as a Data Mining Technique: A Case Study in Epidemiology and Cancer Incidence Prediction -- Selecting Influenza Mitigation Strategies Using Bayesian Bandits -- Hypotensive Episode Prediction in ICUs via Observation Window Splitting -- Equipment Health Indicator Learning using Deep Reinforcement Learning -- ADS Sensing/Positioning -- PBE: Driver Behavior Assessment Beyond Trajectory Profiling -- Accurate WiFi-based Indoor Positioning with Continuous Location Sampling -- Human Activity Recognition with Convolutional Neural Networks -- Urban sensing for anomalous event detection -- Combining Bayesian Inference and Clustering for Transport Mode Detection from Sparse and Noisy Geolocation Data -- CentroidNet: A Deep Neural Network for Joint Object Localization and Counting -- Deep Modular Multimodal Fusion on Multiple Sensors for Volcano Activity Recognition -- Nectar Track -- Matrix Completion under Interval Uncertainty -- A two-step approach for the prediction of mood levels based on diary data -- Best Practices to Train Deep Models on Imbalanced Datasets - A Case Study on Animal Detection in Aerial Imagery -- Deep Query Ranking for Question Answering over Knowledge Bases -- Machine Learning Approaches to Hybrid Music Recommender Systems -- Demo Track -- IDEA: An Interactive Dialogue Translation Demo System Using Furhat Robots -- RAPID: Real-time Analytics Platform for Interactive Data Mining -- COBRASTS: A new approach to Semi-Supervised Clustering of Time Series -- pysubgroup: Easy-to-use Subgroup Discovery in Python -- An Advert Creation System for Next-Gen Publicity -- VHI : Valve Health Identification for the Maintenance of Subsea Industrial Equipment -- Tiler: Software for Human-Guided Data Exploration -- ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio -- ClaRe: Classification and Regression Tool for Multivariate Time Series -- Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning -- Monitoring Emergency First Responders' Activities via Gradient Boosting and Inertial Sensor Data -- Visualizing Multi-Document Semantics via Open Domain Information Extraction. |
| Record Nr. | UNISA-996466464203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III / / edited by Ulf Brefeld, Edward Curry, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, Neil Hurley
| Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III / / edited by Ulf Brefeld, Edward Curry, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, Neil Hurley |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXXI, 706 p. 332 illus., 194 illus. in color.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Computer organization Application software Computer security Computer crimes Data Mining and Knowledge Discovery Artificial Intelligence Computer Systems Organization and Communication Networks Computer Appl. in Social and Behavioral Sciences Systems and Data Security Computer Crime |
| ISBN | 3-030-10997-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ADS Data Science Applications -- Neural Article Pair Modeling for Wikipedia Sub-article Matching -- LinNet: Probabilistic Lineup Evaluation Through Network Embedding -- Improving Emotion Detection with Sub-clip Boosting -- Machine Learning for Targeted Assimilation of Satellite Data -- From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth -- Discovering Groups of Signals in In-Vehicle Network Traces for Redundancy Detection and Functional Grouping -- ADS E-commerce -- SPEEDING up the Metabolism in E-commerce by Reinforcement Mechanism DESIGN -- Intent-aware Audience Targeting for Ride-hailing Service -- A Recurrent Neural Network Survival Model: Predicting Web User Return Time -- Implicit Linking of Food Entities in Social Media -- A Practical Deep Online Ranking System in E-commerce Recommendation -- ADS Engineering and Design -- ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction -- Automating Layout Synthesis with Constructive Preference Elicitation -- Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems -- Learning Cheap and Novel Flight Itineraries -- Towards Resource-Efficient Classifiers for Always-On Monitoring -- ADS Financial / Security -- Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series -- Using Reinforcement Learning to Conceal Honeypot Functionality -- Flexible Inference for Cyberbully Incident Detection -- Solving the \false positives" problem in fraud prediction - Automated Data Science at an Industrial Scale -- Learning Tensor-based Representations from Brain-Computer Interface Data for Cybersecurity -- ADS Health -- Can We Assess Mental Health through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation -- AMIE: Automatic Monitoring of Indoor Exercises -- Rough Set Theory as a Data Mining Technique: A Case Study in Epidemiology and Cancer Incidence Prediction -- Selecting Influenza Mitigation Strategies Using Bayesian Bandits -- Hypotensive Episode Prediction in ICUs via Observation Window Splitting -- Equipment Health Indicator Learning using Deep Reinforcement Learning -- ADS Sensing/Positioning -- PBE: Driver Behavior Assessment Beyond Trajectory Profiling -- Accurate WiFi-based Indoor Positioning with Continuous Location Sampling -- Human Activity Recognition with Convolutional Neural Networks -- Urban sensing for anomalous event detection -- Combining Bayesian Inference and Clustering for Transport Mode Detection from Sparse and Noisy Geolocation Data -- CentroidNet: A Deep Neural Network for Joint Object Localization and Counting -- Deep Modular Multimodal Fusion on Multiple Sensors for Volcano Activity Recognition -- Nectar Track -- Matrix Completion under Interval Uncertainty -- A two-step approach for the prediction of mood levels based on diary data -- Best Practices to Train Deep Models on Imbalanced Datasets - A Case Study on Animal Detection in Aerial Imagery -- Deep Query Ranking for Question Answering over Knowledge Bases -- Machine Learning Approaches to Hybrid Music Recommender Systems -- Demo Track -- IDEA: An Interactive Dialogue Translation Demo System Using Furhat Robots -- RAPID: Real-time Analytics Platform for Interactive Data Mining -- COBRASTS: A new approach to Semi-Supervised Clustering of Time Series -- pysubgroup: Easy-to-use Subgroup Discovery in Python -- An Advert Creation System for Next-Gen Publicity -- VHI : Valve Health Identification for the Maintenance of Subsea Industrial Equipment -- Tiler: Software for Human-Guided Data Exploration -- ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio -- ClaRe: Classification and Regression Tool for Multivariate Time Series -- Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning -- Monitoring Emergency First Responders' Activities via Gradient Boosting and Inertial Sensor Data -- Visualizing Multi-Document Semantics via Open Domain Information Extraction. |
| Record Nr. | UNINA-9910337582503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
New Horizons for a Data-Driven Economy [[electronic resource] ] : A Roadmap for Usage and Exploitation of Big Data in Europe / / edited by José María Cavanillas, Edward Curry, Wolfgang Wahlster
| New Horizons for a Data-Driven Economy [[electronic resource] ] : A Roadmap for Usage and Exploitation of Big Data in Europe / / edited by José María Cavanillas, Edward Curry, Wolfgang Wahlster |
| Autore | Cavanillas José María |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2016 |
| Descrizione fisica | 1 online resource (XX, 303 pages) : 34 illustrations; digital file(s) |
| Disciplina | 025.04 |
| Soggetto topico |
Information storage and retrieval
Management Industrial management Application software Computers and civilization Information Storage and Retrieval Innovation/Technology Management Computer Applications Computers and Society |
| Soggetto non controllato |
Information Storage and Retrieval
Innovation/Technology Management Computer Applications Computers and Society Big data |
| ISBN | 3-319-21569-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: The Big Data Opportunity -- The Big Data Value Opportunity -- Introduction to the BIG Project -- Part II: The Big Data Value Chain: Enabling and Value Creating Technologies -- The Big Data Value Chain: Definitions, Concepts, and Theoretical Approaches -- Big Data Acquisition -- Big Data Analysis -- Big Data Curation -- Big Data Storage -- Big Data Usage -- Part III: Usage and Exploitation of Big Data -- Big Data Driven Innovation in Industrial Sectors -- Big Data in the Health Sector -- Big Data in the Public Sector -- Big Data in the Finance and Insurance Sectors -- Big Data in the Energy and Transport Sectors -- Big Data in the Media and Entertainment Sectors -- Part IV: A Roadmap for Big Data Research -- Cross-Sectorial Requirements Analysis for Big Data Research -- New Horizons for a Data-Driven Economy: Roadmaps and Action Plans for Technology, Businesses, Policy, and Society. . |
| Record Nr. | UNINA-9910136922403321 |
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Cavanillas José María
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| Cham, : Springer Nature, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the 2nd International Doctoral Symposium on Middleware : held at the ACM/IFIP/USENIX International Middleware Conference : November 28-December 2, 2005, Grenoble, France
| Proceedings of the 2nd International Doctoral Symposium on Middleware : held at the ACM/IFIP/USENIX International Middleware Conference : November 28-December 2, 2005, Grenoble, France |
| Autore | Curry Edward |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2005 |
| Descrizione fisica | 1 online resource (45 pages) |
| Collana | ACM International Conference Proceedings Series |
| Soggetto topico |
Engineering & Applied Sciences
Computer Science |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Proceedings of the 2nd International Doctoral Symposium on Middleware : held at the Association for Computing Machinery/International Federation for Information Processing/USENIX International Middleware Conference : November 28-December 2, 2005, Grenoble, France
DSM '05 Proceedings of the 2nd International Doctoral Symposium on Middleware |
| Record Nr. | UNINA-9910375929603321 |
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Curry Edward
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| [Place of publication not identified], : ACM, 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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