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Advanced Learning / / Raquel Hijon-Neira, editor
| Advanced Learning / / Raquel Hijon-Neira, editor |
| Autore | Hijon-Neira Raquel |
| Pubbl/distr/stampa | IntechOpen, 2009 |
| Descrizione fisica | 1 online resource (444 pages) : illustrations |
| Disciplina | 371.334 |
| Soggetto topico |
Computer-assisted instruction
Internet in education |
| Soggetto non controllato | Information technology: general issues |
| ISBN | 953-51-5854-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910138285103321 |
Hijon-Neira Raquel
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| IntechOpen, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Intelligent Data Analysis XVIII [[electronic resource] ] : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl
| Advances in Intelligent Data Analysis XVIII [[electronic resource] ] : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl |
| Autore | Berthold Michael |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XIV, 588 p. 210 illus., 132 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Data mining Computers Machine learning Computer organization Database Management Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks |
| Soggetto non controllato |
Database Management
Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks open access data mining learning systems classification clustering semantics learning algorithms supervised learning association rules social networks graphic methods neural networks artificial intelligence computer vision correlation analysis databases education engineering graph theory image analysis Databases Database programming Data mining Expert systems / knowledge-based systems Information technology: general issues Machine learning Computer networking & communications |
| ISBN | 3-030-44584-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder -- Dual Sequential Variational Autoencoders for Fraud Detection -- A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks -- Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams -- GraphMDL: Graph Pattern Selection Based on Minimum Description Length -- Towards Content Sensitivity Analysis -- Gibbs Sampling Subjectively Interesting Tiles -- Even Faster Exact k-Means Clustering -- Ising-Based Consensus Clustering on Special Purpose Hardware -- Transfer Learning by Learning Projections from Target to Source -- Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs -- Towards Evaluation of CNN Performance in Semantically Meaningful Latent Spaces -- Vouw: Geometric Pattern Mining Using the MDL Principle -- A Consensus Approach to Improve NMF Document Clustering -- Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams -- Widening for MDL-Based Retail Signature Discovery -- Addressing the Resolution Limit and the Field of View Limit in Community Mining -- Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics -- Adversarial Attacks Hidden in Plain Sight -- Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code -- Overlapping Hierarchical Clustering (OHC) -- Digital Footprints of International Migration on Twitter -- Percolation-Based Detection of Anomalous Subgraphs in Complex Networks -- A Late-Fusion Approach to Community Detection in Attributed Networks -- Reconciling Predictions in the Regression Setting: an Application to Bus Travel Time Prediction -- A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization -- Actionable Subgroup Discovery and Urban Farm Optimization -- AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model -- Detection of Derivative Discontinuities in Observational Data -- Improving Prediction with Causal Probabilistic Variables -- DO-U-Net for Segmentation and Counting -- Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media -- Event Recognition Based on Classification of Generated Image Captions -- Human-to-AI Coach: Improving Human Inputs to AI Systems -- Aleatoric and Epistemic Uncertainty with Random Forests -- Master your Metrics with Calibration -- Supervised Phrase-Boundary Embeddings -- Predicting Remaining Useful Life with Similarity-Based Priors -- Orometric Methods in Bounded Metric Data -- Interpretable Neuron Structuring with Graph Spectral Regularization -- Comparing the Preservation of Network Properties by Graph Embeddings -- Making Learners (More) Monotone -- Combining Machine Learning and Simulation to a Hybrid Modelling Approach -- LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification -- Angle-Based Crowding Degree Estimation for Many-Objective Optimization. |
| Record Nr. | UNISA-996418219903316 |
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Berthold Michael
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances in Intelligent Data Analysis XVIII : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl
| Advances in Intelligent Data Analysis XVIII : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl |
| Autore | Berthold Michael |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XIV, 588 p. 210 illus., 132 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Data mining Computers Machine learning Computer organization Database Management Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks |
| Soggetto non controllato |
Database Management
Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks open access data mining learning systems classification clustering semantics learning algorithms supervised learning association rules social networks graphic methods neural networks artificial intelligence computer vision correlation analysis databases education engineering graph theory image analysis Databases Database programming Data mining Expert systems / knowledge-based systems Information technology: general issues Machine learning Computer networking & communications |
| ISBN | 3-030-44584-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder -- Dual Sequential Variational Autoencoders for Fraud Detection -- A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks -- Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams -- GraphMDL: Graph Pattern Selection Based on Minimum Description Length -- Towards Content Sensitivity Analysis -- Gibbs Sampling Subjectively Interesting Tiles -- Even Faster Exact k-Means Clustering -- Ising-Based Consensus Clustering on Special Purpose Hardware -- Transfer Learning by Learning Projections from Target to Source -- Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs -- Towards Evaluation of CNN Performance in Semantically Meaningful Latent Spaces -- Vouw: Geometric Pattern Mining Using the MDL Principle -- A Consensus Approach to Improve NMF Document Clustering -- Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams -- Widening for MDL-Based Retail Signature Discovery -- Addressing the Resolution Limit and the Field of View Limit in Community Mining -- Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics -- Adversarial Attacks Hidden in Plain Sight -- Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code -- Overlapping Hierarchical Clustering (OHC) -- Digital Footprints of International Migration on Twitter -- Percolation-Based Detection of Anomalous Subgraphs in Complex Networks -- A Late-Fusion Approach to Community Detection in Attributed Networks -- Reconciling Predictions in the Regression Setting: an Application to Bus Travel Time Prediction -- A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization -- Actionable Subgroup Discovery and Urban Farm Optimization -- AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model -- Detection of Derivative Discontinuities in Observational Data -- Improving Prediction with Causal Probabilistic Variables -- DO-U-Net for Segmentation and Counting -- Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media -- Event Recognition Based on Classification of Generated Image Captions -- Human-to-AI Coach: Improving Human Inputs to AI Systems -- Aleatoric and Epistemic Uncertainty with Random Forests -- Master your Metrics with Calibration -- Supervised Phrase-Boundary Embeddings -- Predicting Remaining Useful Life with Similarity-Based Priors -- Orometric Methods in Bounded Metric Data -- Interpretable Neuron Structuring with Graph Spectral Regularization -- Comparing the Preservation of Network Properties by Graph Embeddings -- Making Learners (More) Monotone -- Combining Machine Learning and Simulation to a Hybrid Modelling Approach -- LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification -- Angle-Based Crowding Degree Estimation for Many-Objective Optimization. |
| Record Nr. | UNINA-9910404119303321 |
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Berthold Michael
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Contextual Process Digitalization [[electronic resource] ] : Changing Perspectives – Design Thinking – Value-Led Design / / by Albert Fleischmann, Stefan Oppl, Werner Schmidt, Christian Stary
| Contextual Process Digitalization [[electronic resource] ] : Changing Perspectives – Design Thinking – Value-Led Design / / by Albert Fleischmann, Stefan Oppl, Werner Schmidt, Christian Stary |
| Autore | Fleischmann Albert |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (X, 275 p. 165 illus., 86 illus. in color.) |
| Disciplina | 004 |
| Soggetto topico |
Application software
Management information systems Industrial management Organization Planning Computer Appl. in Administrative Data Processing Business Process Management Information Systems Applications (incl. Internet) Business Information Systems |
| Soggetto non controllato |
Computer Appl. in Administrative Data Processing
Business Process Management Organization Information Systems Applications (incl. Internet) Business Information Systems Open Access S-BPM Design Thinking Workflow Management Public administration Information technology: general issues Business mathematics & systems Organizational theory & behaviour Information retrieval Internet searching |
| ISBN | 3-030-38300-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Motivation -- 2 Models -- 3 Modeling Languages -- 4 Contemporary Challenges in Business Process Modeling / Management -- 5 From Modeling to Digitalization -- 6 Preparation of Process Implementation -- 7 Realization -- 8 Industrial Use Case. |
| Record Nr. | UNISA-996465455503316 |
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Fleischmann Albert
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Contextual Process Digitalization : Changing Perspectives – Design Thinking – Value-Led Design / / by Albert Fleischmann, Stefan Oppl, Werner Schmidt, Christian Stary
| Contextual Process Digitalization : Changing Perspectives – Design Thinking – Value-Led Design / / by Albert Fleischmann, Stefan Oppl, Werner Schmidt, Christian Stary |
| Autore | Fleischmann Albert |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (X, 275 p. 165 illus., 86 illus. in color.) |
| Disciplina | 004 |
| Soggetto topico |
Application software
Management information systems Industrial management Organization Planning Computer Appl. in Administrative Data Processing Business Process Management Information Systems Applications (incl. Internet) Business Information Systems |
| Soggetto non controllato |
Computer Appl. in Administrative Data Processing
Business Process Management Organization Information Systems Applications (incl. Internet) Business Information Systems Open Access S-BPM Design Thinking Workflow Management Public administration Information technology: general issues Business mathematics & systems Organizational theory & behaviour Information retrieval Internet searching |
| ISBN | 3-030-38300-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Motivation -- 2 Models -- 3 Modeling Languages -- 4 Contemporary Challenges in Business Process Modeling / Management -- 5 From Modeling to Digitalization -- 6 Preparation of Process Implementation -- 7 Realization -- 8 Industrial Use Case. |
| Record Nr. | UNINA-9910404119603321 |
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Fleischmann Albert
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science for Economics and Finance [[electronic resource] ] : Methodologies and Applications / / edited by Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana
| Data Science for Economics and Finance [[electronic resource] ] : Methodologies and Applications / / edited by Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana |
| Autore | Consoli Sergio |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (XIV, 355 p. 56 illus., 44 illus. in color.) |
| Disciplina | 006.312 |
| Soggetto topico |
Data mining
Machine learning Management information systems Big data Application software Information storage and retrieval Data Mining and Knowledge Discovery Machine Learning Business Information Systems Big Data/Analytics Computer Appl. in Administrative Data Processing Information Storage and Retrieval |
| Soggetto non controllato |
Data Mining and Knowledge Discovery
Machine Learning Business Information Systems Big Data/Analytics Computer Appl. in Administrative Data Processing Information Storage and Retrieval IT in Business Computer and Information Systems Applications Open Access Data Mining Big Data Data Analytics Decision Support Systems Semantics and Reasoning Expert systems / knowledge-based systems Business mathematics & systems Public administration Information technology: general issues Information retrieval Data warehousing |
| ISBN | 3-030-66891-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Science Technologies in Economics and Finance: A Gentle Walk-In -- Supervised Learning for the Prediction of Firm Dynamics -- Opening the Black Box: Machine Learning Interpretability and Inference Tools with an Application to Economic Forecasting -- Machine Learning for Financial Stability -- Sharpening the Accuracy of Credit Scoring Models with Machine Learning Algorithms -- Classifying Counterparty Sector in EMIR Data -- Massive Data Analytics for Macroeconomic Nowcasting -- New Data Sources for Central Banks -- Sentiment Analysis of Financial News: Mechanics and Statistics -- Semi-supervised Text Mining for Monitoring the News About the ESG Performance of Companies -- Extraction and Representation of Financial Entities from Text -- Quantifying News Narratives to Predict Movements in Market Risk -- Do the Hype of the Benefits from Using New Data Science Tools Extend to Forecasting Extremely Volatile Assets? -- Network Analysis for Economics and Finance: An application to Firm Ownership. |
| Record Nr. | UNISA-996464413703316 |
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Consoli Sergio
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Data Science for Economics and Finance : Methodologies and Applications / / edited by Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana
| Data Science for Economics and Finance : Methodologies and Applications / / edited by Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana |
| Autore | Consoli Sergio |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (XIV, 355 p. 56 illus., 44 illus. in color.) |
| Disciplina | 006.312 |
| Soggetto topico |
Data mining
Machine learning Management information systems Big data Application software Information storage and retrieval Data Mining and Knowledge Discovery Machine Learning Business Information Systems Big Data/Analytics Computer Appl. in Administrative Data Processing Information Storage and Retrieval |
| Soggetto non controllato |
Data Mining and Knowledge Discovery
Machine Learning Business Information Systems Big Data/Analytics Computer Appl. in Administrative Data Processing Information Storage and Retrieval IT in Business Computer and Information Systems Applications Open Access Data Mining Big Data Data Analytics Decision Support Systems Semantics and Reasoning Expert systems / knowledge-based systems Business mathematics & systems Public administration Information technology: general issues Information retrieval Data warehousing |
| ISBN | 3-030-66891-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Science Technologies in Economics and Finance: A Gentle Walk-In -- Supervised Learning for the Prediction of Firm Dynamics -- Opening the Black Box: Machine Learning Interpretability and Inference Tools with an Application to Economic Forecasting -- Machine Learning for Financial Stability -- Sharpening the Accuracy of Credit Scoring Models with Machine Learning Algorithms -- Classifying Counterparty Sector in EMIR Data -- Massive Data Analytics for Macroeconomic Nowcasting -- New Data Sources for Central Banks -- Sentiment Analysis of Financial News: Mechanics and Statistics -- Semi-supervised Text Mining for Monitoring the News About the ESG Performance of Companies -- Extraction and Representation of Financial Entities from Text -- Quantifying News Narratives to Predict Movements in Market Risk -- Do the Hype of the Benefits from Using New Data Science Tools Extend to Forecasting Extremely Volatile Assets? -- Network Analysis for Economics and Finance: An application to Firm Ownership. |
| Record Nr. | UNINA-9910484567403321 |
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Consoli Sergio
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Technology in Materials Modelling
| Data Technology in Materials Modelling |
| Autore | Horsch Martin Thomas |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (101 pages) |
| Altri autori (Persone) |
ChiacchieraSilvia
CavalcantiWelchy Leite SchemberaBjö |
| Collana | SpringerBriefs in Applied Sciences and Technology |
| Soggetto topico |
Materials science
Public administration |
| Soggetto non controllato |
Structural Materials
Computer Appl. in Administrative Data Processing Materials Engineering Computer and Information Systems Applications VIMMP marketplace Materials modelling ontology EngMeta metadata schema OSMO ontology Computational molecular engineering Open Access Materials science Structural engineering Public administration Information technology: general issues |
| ISBN | 3-030-68597-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intro -- Preface -- Acknowledgements -- Contents -- 1 Introduction -- 1.1 Digitalization and Data Management -- 1.2 Semantic Interoperability -- 1.3 Semantic Assets and Metadata Categories -- 1.4 Perspective and Outline of the Book -- References -- 2 Research Data Infrastructures and Engineering Metadata -- 2.1 Engineering Metadata -- 2.1.1 How to Engineer Metadata -- 2.1.2 Metadata for Engineering: The EngMeta Metadata Scheme -- 2.2 Research Data Infrastructures -- 2.2.1 Requirements and Functions -- 2.2.2 Architectures -- 2.2.3 Examples of Research Data Infrastructures in Materials Modelling -- References -- 3 Marketplace-Level Domain Ontologies -- 3.1 Ontologies and Formal Notation -- 3.2 European Virtual Marketplace Framework -- 3.3 Modelling, Simulation and Computational Resources -- 3.4 Engineering Applications and Validation -- 3.5 Training and Communication -- References -- 4 Semantic Technology for Simulations and Molecular Particle-Based Methods -- 4.1 Brief Overview of Ontologies for Modelling and Simulation -- 4.1.1 Examples of Applications -- 4.2 Other Relevant Assets and Approaches -- 4.3 Software Capabilities -- 4.4 Variables and Functions -- 4.4.1 Simulation Variables vs Physical Properties -- 4.5 EngMeta and VIMMP Ontologies -- 4.6 Closing Thoughts -- References -- 5 Applications of the Metadata Standards -- 5.1 Representing Scenarios -- 5.2 Top-Level Ontology -- 5.3 Ontology Matching -- 5.4 VIMMP-EMMO Alignment -- 5.5 Documentation of Molecular Models -- References. |
| Record Nr. | UNINA-9910473457303321 |
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Horsch Martin Thomas
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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E-learning
| E-learning |
| Autore | Buzzi Marina |
| Pubbl/distr/stampa | IntechOpen, 2010 |
| Descrizione fisica | 1 electronic resource (314 p.) |
| Soggetto topico | Information technology: general issues |
| Soggetto non controllato | Information technology: general issues |
| ISBN | 953-7619-95-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910138434803321 |
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Buzzi Marina
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| IntechOpen, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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E-Science : Open, Social and Virtual Technology for Research Collaboration
| E-Science : Open, Social and Virtual Technology for Research Collaboration |
| Autore | Koschtial Claudia |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (192 pages) |
| Altri autori (Persone) |
KöhlerThomas
FeldenCarsten |
| Collana | Progress in IS |
| Soggetto topico |
Sociology
Media studies Business mathematics & systems Information technology: general issues Education Knowledge management |
| Soggetto genere / forma | Bibliographies. |
| Soggetto non controllato |
Science and Technology Studies
Media and Communication Business Information Systems Computer Applications Education, general Knowledge Management Science Communication Computer and Information Systems Applications Digital Education and Educational Technology Open Access Grid computing Science 2.0 Research network Education portal Virtual organization Governance Social control Science collaboration Digitization Digital research infrastructures Cyberinfrastructure software Sustainability Software sustainability Sociology Media studies Business mathematics & systems Information technology: general issues Education |
| ISBN | 3-030-66262-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Introduction -- Acknowledgements -- References -- Contents -- Understanding e-Science-What Is It About? -- 1 Introduction -- 2 Related Work -- 3 Research Approach -- 3.1 Research Field and Methodology -- 3.2 Research Framework -- 4 Results -- 5 Discussion of Initial Results -- 6 Conclusion -- References -- Organising Academia Online -- 1 Introduction -- 2 E-Learning Organisation: Media Integration as Organisational Development -- 2.1 Online Technologies in Higher Education -- 2.2 Virtualisation in Higher Education -- 3 Change of Organisational Theories and Paradigms -- 3.1 The Research Framework: Virtual (Educational) Organisations -- 3.2 Research Methods -- 4 Discussion and Conclusions -- 4.1 Theoretical Considerations About the Functioning of Virtual Organisations in the Academic Sector -- 4.2 Forms, Instruments and Mechanisms of Control in Virtual Organisations -- 4.3 Limitations -- References -- The Fish Model: When Do Researchers Collaborate Online? -- 1 Introduction -- 2 The Fish Model: A Conceptual Framework for E-Research Collaboration -- 2.1 The Reality of Managing Scientific Tasks in Terms of the Available Time -- 2.2 Online Research Activities Led by Work-Based Beliefs -- 2.3 Support for Technology Use in Context -- 2.4 Incentives Protected by Research Ethics -- 3 Method -- 4 Results -- 4.1 The Measurement Model -- 4.2 The Structured Model -- 5 Discussion: Conclusion and Limitations -- 5.1 Conclusions -- 5.2 Limitations -- Appendix -- References -- The Use of Digital Tools in Scholarly Activities. Empirical Findings on the State of Digitization of Science in Germany, Focusing on Saxony -- 1 E-Science, Cyberscience, Science 2.0: The Digitization of Science Is on the Move -- 2 The Empirical Question: Is Digitization Really on the Move? -- 3 Hypotheses, Data, and Methods -- 4 Results.
4.1 General Level of Adoption of Digital Tools in Scholarly Activities -- 4.2 Use of Web 2.0 Tools Among Scholars -- 4.3 Disciplinary Differences -- 4.4 Changing Scholarly Practices -- 5 Summary and Discussion -- References -- Digital Research Infrastructure -- 1 Introduction -- 2 IT Infrastructure -- 3 Information Infrastructure -- 3.1 Repositories and Publication Server -- 3.2 Data Formats -- 4 Legal Issues -- 4.1 Copyright Issues -- 4.2 Personal Data Protection -- 5 Conclusion -- References -- MOVING: A User-Centric Platform for Online Literacy Training and Learning -- 1 Introduction -- 2 Digitized Science -- 3 Overview of the MOVING Platform -- 4 The MOVING Web Application -- 4.1 Search -- 4.2 Recommender System -- 4.3 Communities -- 4.4 Learning Environment -- 4.5 Adaptive Training Support -- 5 Conclusion -- References -- CLARIN-D: An IT-Based Research Infrastructure for the Humanities and Social Sciences -- 1 Introduction -- 2 The Impact of Digitization in the Humanities-From Digital Humanities to E-Humanities -- 3 CLARIN-D-An Infrastructure for Text-Oriented Humanities -- 4 Metadata, Citation, and Search -- 5 Summary and Conclusion -- References -- Toward Process Variability Management in Online Examination Process in German Universities: A State of the Art -- 1 Introduction -- 2 Motivation -- 3 Research Method -- 3.1 Literature Search and Data Collection in Three Domains -- 3.2 Accreditation Processes in Germany -- 4 Literature and Results -- 4.1 Evaluation of IT Approaches -- 4.2 Evaluation of Study Courses -- 4.3 Evaluation of Accreditation -- 4.4 Summary of the Results -- 5 Conclusion and Further Work -- Appendix 1: Summary of IT Approaches to e-Assessment -- Appendix 2: List of German universities reviewed -- References -- Designing External Knowledge Communication in a Research Network The Case of Sustainable Land Management. 1 Background: Theory and Project -- 1.1 Sustainable Communication in the Sciences -- 1.2 Theoretical and Conceptual Considerations for the Design of Communication Processes -- 1.3 Knowledge Management in the Sustainable Land Management Program as a Challenge for External Communication -- 2 Approach and Methodology -- 2.1 Data Collection -- 2.2 Evaluation Method -- 3 Results -- 3.1 Practitioners and Civil Society as Target Groups of External Knowledge Communication -- 3.2 Effects and Interactions of Factors Influencing External Knowledge Communication -- 3.3 Selecting a Suitable Means of Communication -- 3.4 Selecting and Preparing the Communications Content -- 3.5 Addressing the Attitude of Stakeholders -- 4 Conclusions -- 4.1 Background and Communicative Tasks -- 4.2 Definition of Communication Objectives -- 4.3 Definition of Target Groups -- 4.4 Formulating Messages -- 4.5 Definition of Communication Strategies -- 4.6 Activity Planning and Scheduling ("Concerted Activity") -- 4.7 Limitations of the Study -- 4.8 Lessons Learned -- References -- Researching Scientific Structures via Joint Authorships-The Case of Virtual 3D Modelling in the Humanities -- 1 Introduction -- 1.1 Defining Disciplines -- 1.2 Defining Cross-Disciplinarity -- 2 The Case of Virtual 3D Modelling in the Humanities -- 2.1 Field of Research -- 2.2 Data Sample -- 2.3 Scientific Approach: Analysis of Scientific Authorship Relations -- 3 Findings -- 3.1 Indication 1: Cooperative Authorship -- 3.2 Indication 2: Lotka Coefficient -- 3.3 Indication 3: Key Players -- 4 Conclusion -- References -- Visions of a Future Research Workplace Arising from Recent Foresight Exercises -- 1 Introduction -- 2 Integration of Future Research Tools in Global Expert Systems -- 3 Results of the Delphi Survey on e-Science Tools and Factors -- 3.1 Delphi Survey Background and Scope. 3.2 The Future Use of Information Systems for e-Science-The Results of the Delphi Survey -- 4 Discussion and Conclusions -- References. |
| Record Nr. | UNINA-9910473456503321 |
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Koschtial Claudia
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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