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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 |
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 Warehousing and Knowledge Discovery [[electronic resource] ] : 7th International Conference, DaWak 2005, Copenhagen, Denmark, August 22-26, 2005, Proceedings / / edited by A Min Tjoa
| Data Warehousing and Knowledge Discovery [[electronic resource] ] : 7th International Conference, DaWak 2005, Copenhagen, Denmark, August 22-26, 2005, Proceedings / / edited by A Min Tjoa |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XVI, 544 p.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data structures (Computer science)
Database management Information storage and retrieval Application software Computer communication systems Artificial intelligence Data Structures and Information Theory Database Management Information Storage and Retrieval Information Systems Applications (incl. Internet) Computer Communication Networks Artificial Intelligence |
| Soggetto non controllato |
Data warehousing
Knowledge discovery DaWaK |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Warehouse I -- A Tree Comparison Approach to Detect Changes in Data Warehouse Structures -- Extending the UML for Designing Association Rule Mining Models for Data Warehouses -- Event-Feeded Dimension Solution -- XML-OLAP: A Multidimensional Analysis Framework for XML Warehouses -- Data Warehouse II -- Graph-Based Modeling of ETL Activities with Multi-level Transformations and Updates -- Extending UML 2 Activity Diagrams with Business Intelligence Objects -- Automatic Selection of Bitmap Join Indexes in Data Warehouses -- Evaluating Data Warehouses and Tools -- A Survey of Open Source Tools for Business Intelligence -- DWEB: A Data Warehouse Engineering Benchmark -- A Set of Quality Indicators and Their Corresponding Metrics for Conceptual Models of Data Warehouses -- Design and Development of a Tool for Integrating Heterogeneous Data Warehouses -- Schema Transformations -- An Evolutionary Approach to Schema Partitioning Selection in a Data Warehouse -- Using Schema Transformation Pathways for Incremental View Maintenance -- Data Mapper: An Operator for Expressing One-to-Many Data Transformations -- Materialized Views -- Parallel Consistency Maintenance of Materialized Views Using Referential Integrity Constraints in Data Warehouses -- Selective View Materialization in a Spatial Data Warehouse -- PMC: Select Materialized Cells in Data Cubes -- Aggregates -- Progressive Ranking of Range Aggregates -- On Efficient Storing and Processing of Long Aggregate Lists -- Data Warehouse Queries and Database Processing Issues -- Ad Hoc Star Join Query Processing in Cluster Architectures -- A Precise Blocking Method for Record Linkage -- Flexible Query Answering in Data Cubes -- An Extendible Array Based Implementation of Relational Tables for Multi Dimensional Databases -- Data Mining Algorithms and Techniques -- Nearest Neighbor Search on Vertically Partitioned High-Dimensional Data -- A Machine Learning Approach to Identifying Database Sessions Using Unlabeled Data -- Hybrid System of Case-Based Reasoning and Neural Network for Symbolic Features -- Data Mining -- Spatio–temporal Rule Mining: Issues and Techniques -- Hybrid Approach to Web Content Outlier Mining Without Query Vector -- Incremental Data Mining Using Concurrent Online Refresh of Materialized Data Mining Views -- A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases -- Association Rules -- Discovering Richer Temporal Association Rules from Interval-Based Data -- Semantic Query Expansion Combining Association Rules with Ontologies and Information Retrieval Techniques -- Maintenance of Generalized Association Rules Under Transaction Update and Taxonomy Evolution -- Prince: An Algorithm for Generating Rule Bases Without Closure Computations -- Text Processing and Classification -- Efficient Compression of Text Attributes of Data Warehouse Dimensions -- Effectiveness of Document Representation for Classification -- 2-PS Based Associative Text Classification -- Miscellaneous Applications -- Intrusion Detection via Analysis and Modelling of User Commands -- Dynamic Schema Navigation Using Formal Concept Analysis -- Security and Privacy Issues -- FMC: An Approach for Privacy Preserving OLAP -- Information Driven Evaluation of Data Hiding Algorithms -- Patterns -- Essential Patterns: A Perfect Cover of Frequent Patterns -- Processing Sequential Patterns in Relational Databases -- Optimizing a Sequence of Frequent Pattern Queries -- A General Effective Framework for Monotony and Tough Constraint Based Sequential Pattern Mining -- Cluster and Classification I -- Hiding Classification Rules for Data Sharing with Privacy Preservation -- Clustering-Based Histograms for Multi-dimensional Data -- Weighted K-Means for Density-Biased Clustering -- Cluster and Classification II -- A New Approach for Cluster Detection for Large Datasets with High Dimensionality -- Gene Expression Biclustering Using Random Walk Strategies -- Spectral Kernels for Classification -- Data Warehousing and Knowledge Discovery: A Chronological View of Research Challenges. |
| Record Nr. | UNISA-996465557403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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The Elements of Big Data Value [[electronic resource] ] : Foundations of the Research and Innovation Ecosystem
| The Elements of Big Data Value [[electronic resource] ] : Foundations of the Research and Innovation Ecosystem |
| Autore | Curry Edward |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
| Descrizione fisica | 1 online resource (412 p.) |
| Altri autori (Persone) |
MetzgerAndreas
ZillnerSonja PazzagliaJean-Christophe García RoblesAna |
| Soggetto topico |
Information retrieval
Business & management Research & development management Information technology industries Databases |
| Soggetto non controllato |
Information Storage and Retrieval
Business and Management, general Innovation/Technology Management The Computer Industry Big Data Innovation and Technology Management Technology Commercialization Digital Transformation Innovation Spaces Data-Driven Innovation Data Analytics Technology Management Data Ecosystems Data Protection Big Data Business Models Open Access Information retrieval Data warehousing Business & Management Research & development management Industrial applications of scientific research & technological innovation Information technology industries Databases |
| ISBN | 3-030-68176-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464495403316 |
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Curry Edward
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| Cham, : Springer International Publishing AG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
The Elements of Big Data Value : Foundations of the Research and Innovation Ecosystem
| The Elements of Big Data Value : Foundations of the Research and Innovation Ecosystem |
| Autore | Curry Edward |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
| Descrizione fisica | 1 online resource (412 p.) |
| Altri autori (Persone) |
MetzgerAndreas
ZillnerSonja PazzagliaJean-Christophe García RoblesAna |
| Soggetto topico |
Information retrieval
Business & management Research & development management Information technology industries Databases |
| Soggetto non controllato |
Information Storage and Retrieval
Business and Management, general Innovation/Technology Management The Computer Industry Big Data Innovation and Technology Management Technology Commercialization Digital Transformation Innovation Spaces Data-Driven Innovation Data Analytics Technology Management Data Ecosystems Data Protection Big Data Business Models Open Access Information retrieval Data warehousing Business & Management Research & development management Industrial applications of scientific research & technological innovation Information technology industries Databases |
| ISBN | 3-030-68176-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910488709403321 |
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Curry Edward
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| Cham, : Springer International Publishing AG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Evaluating information retrieval and access tasks : NTCIR's legacy of research impact / / edited by Tetsuya Sakai, Douglas W. Oard, Noriko Kando
| Evaluating information retrieval and access tasks : NTCIR's legacy of research impact / / edited by Tetsuya Sakai, Douglas W. Oard, Noriko Kando |
| Autore | Sakai Tetsuya |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (XIII, 219 pages 25 illustrations, 11 illustrations in color.) : digital, PDF file(s) |
| Disciplina | 025.04 |
| Collana | The Information Retrieval Series |
| Soggetto topico |
Information retrieval
Information Storage and Retrieval |
| Soggetto non controllato |
Information Storage and Retrieval
Evaluation Information Retrieval Multilingual Information Access NTCIR Test Collections Information Search Information Storage Artificial Intelligence Open Acces Information retrieval Data warehousing |
| ISBN | 981-15-5554-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Graded Relevance -- Chapter 2. Experiments on Cross-Language Information Retrieval using Comparable Corpora of Chinese, Japanese, and Korean Languages -- Chapter 3. Text Summarization Challenge -- Chapter 4. Challenges in Patent Information Retrieval -- Chapter 5. Multi-Modal Summarization -- Chapter 6. Opinion Analysis Corpora Across Languages -- Chapter 7. Patent Translation -- Chapter 8. Component-Based Evaluation for Question Answering -- Chapter 9. Temporal Information Access -- Chapter 10. SogouQ -- Chapter 11. Evaluation of Information Access with Smartphones -- Chapter 12. Mathematical Information Retrieval -- Chapter 13. Experiments in Lifelog Organisation and Retrieval at NTCIR -- Chapter 14. The Future of Information Retrieval Evaluation. |
| Record Nr. | UNISA-996464380203316 |
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Sakai Tetsuya
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Evaluating information retrieval and access tasks : NTCIR's legacy of research impact / / edited by Tetsuya Sakai, Douglas W. Oard, Noriko Kando
| Evaluating information retrieval and access tasks : NTCIR's legacy of research impact / / edited by Tetsuya Sakai, Douglas W. Oard, Noriko Kando |
| Autore | Sakai Tetsuya |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (XIII, 219 pages 25 illustrations, 11 illustrations in color.) : digital, PDF file(s) |
| Disciplina | 025.04 |
| Collana | The Information Retrieval Series |
| Soggetto topico |
Information retrieval
Information Storage and Retrieval |
| Soggetto non controllato |
Information Storage and Retrieval
Evaluation Information Retrieval Multilingual Information Access NTCIR Test Collections Information Search Information Storage Artificial Intelligence Open Acces Information retrieval Data warehousing |
| ISBN | 981-15-5554-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Graded Relevance -- Chapter 2. Experiments on Cross-Language Information Retrieval using Comparable Corpora of Chinese, Japanese, and Korean Languages -- Chapter 3. Text Summarization Challenge -- Chapter 4. Challenges in Patent Information Retrieval -- Chapter 5. Multi-Modal Summarization -- Chapter 6. Opinion Analysis Corpora Across Languages -- Chapter 7. Patent Translation -- Chapter 8. Component-Based Evaluation for Question Answering -- Chapter 9. Temporal Information Access -- Chapter 10. SogouQ -- Chapter 11. Evaluation of Information Access with Smartphones -- Chapter 12. Mathematical Information Retrieval -- Chapter 13. Experiments in Lifelog Organisation and Retrieval at NTCIR -- Chapter 14. The Future of Information Retrieval Evaluation. |
| Record Nr. | UNINA-9910418343803321 |
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Sakai Tetsuya
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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