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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. UNINA-9910484567403321
Consoli Sergio  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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. UNINA-9910484858103321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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. UNINA-9910488709403321
Curry Edward  
Cham, : Springer International Publishing AG, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Curry Edward  
Cham, : Springer International Publishing AG, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
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
Sakai Tetsuya  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
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
Sakai Tetsuya  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui