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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
Berthold Michael  
Cham, : Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
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
Berthold Michael  
Cham, : Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
AiREAS: Sustainocracy for a Healthy City [[electronic resource] ] : Phase 3: Civilian Participation – Including the Global Health Deal Proposition / / edited by Jean-Paul Close
AiREAS: Sustainocracy for a Healthy City [[electronic resource] ] : Phase 3: Civilian Participation – Including the Global Health Deal Proposition / / edited by Jean-Paul Close
Autore Close Jean-Paul
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham, : Springer Nature, 2016
Descrizione fisica 1 online resource (XXI, 158 p. 74 illus.)
Disciplina 338.9
Collana SpringerBriefs on Case Studies of Sustainable Development
Soggetto topico Development economics
Air pollution
Sociology, Urban
Welfare economics
Group theory
Data mining
Development Economics
Atmospheric Protection/Air Quality Control/Air Pollution
Urban Studies/Sociology
Social Choice/Welfare Economics/Public Choice/Political Economy
Group Theory and Generalizations
Data Mining and Knowledge Discovery
Soggetto non controllato Development Economics
Atmospheric Protection / Air Quality Control / Air Pollution
Urban Studies/Sociology
Social Choice/Welfare Economics/Public Choice
Group Theory and Generalizations
Data Mining and Knowledge Discovery
ISBN 3-319-45620-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Foreword -- Chapter 1: Persuasive communication, by Jean-Paul Close, Jaap Ham -- Chapter 2: the AiREAS Proof of Principle - POP Relating air quality to health and lifestyle, by Jean-Paul Close, Nicolette Meeder, John Schmeitz -- Chapter 3: The backpack project, by Jean-Paul Close, Nicolette Meeder -- Chapter 4: New entrepreneurship, by John Schmeitz, Jean-Paul Close -- Chapter 5: Event linked communication, by Jean-Paul Close, Eric de Groot, Pierre Cluitmans -- Chapter 6: Multicultural context, by Jean-Paul Close, Rüstem Demir -- Chapter 7: Level 4 Sustainocratic regional development, by Jean-Paul Close.
Record Nr. UNINA-9910156519603321
Close Jean-Paul  
Cham, : Springer Nature, 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bisociative Knowledge Discovery [[electronic resource] ] : An Introduction to Concept, Algorithms, Tools, and Applications / / edited by Michael R. Berthold
Bisociative Knowledge Discovery [[electronic resource] ] : An Introduction to Concept, Algorithms, Tools, and Applications / / edited by Michael R. Berthold
Autore Berthold Michael R
Edizione [1st ed. 2012.]
Pubbl/distr/stampa Cham, : Springer Nature, 2012
Descrizione fisica 1 online resource (IX, 485 p. 146 illus.)
Disciplina 006.3/12
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Application software
User interfaces (Computer systems)
Pattern recognition
Computer communication systems
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
User Interfaces and Human Computer Interaction
Pattern Recognition
Computer Communication Networks
Soggetto non controllato Artificial Intelligence (incl. Robotics)
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
User Interfaces and Human Computer Interaction
Pattern Recognition
Computer Communication Networks
ISBN 3-642-31830-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910293146803321
Berthold Michael R  
Cham, : Springer Nature, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bisociative Knowledge Discovery [[electronic resource] ] : An Introduction to Concept, Algorithms, Tools, and Applications / / edited by Michael R. Berthold
Bisociative Knowledge Discovery [[electronic resource] ] : An Introduction to Concept, Algorithms, Tools, and Applications / / edited by Michael R. Berthold
Autore Berthold Michael R
Edizione [1st ed. 2012.]
Pubbl/distr/stampa Cham, : Springer Nature, 2012
Descrizione fisica 1 online resource (IX, 485 p. 146 illus.)
Disciplina 006.3/12
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Application software
User interfaces (Computer systems)
Pattern recognition
Computer communication systems
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
User Interfaces and Human Computer Interaction
Pattern Recognition
Computer Communication Networks
Soggetto non controllato Artificial Intelligence (incl. Robotics)
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
User Interfaces and Human Computer Interaction
Pattern Recognition
Computer Communication Networks
ISBN 3-642-31830-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996206991903316
Berthold Michael R  
Cham, : Springer Nature, 2012
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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 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
Consoli Sergio  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
From Opinion Mining to Financial Argument Mining
From Opinion Mining to Financial Argument Mining
Autore Chen Chung-Chi
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (102 pages)
Altri autori (Persone) HuangHen-Hsen
ChenHsin-Hsi
Collana SpringerBriefs in Computer Science
Soggetto topico Natural language & machine translation
Data mining
Algorithms & data structures
Artificial intelligence
Information technology: general issues
Soggetto non controllato Natural Language Processing (NLP)
Data Mining and Knowledge Discovery
Data Structures and Information Theory
Artificial Intelligence
Computer Applications
Data Science
Computer and Information Systems Applications
Open Access
financial opinion mining
text mining in finance
financial technology application
FinTech
argument mining in finance
opinion quality evaluation
numeral understanding
Natural language & machine translation
Data mining
Expert systems / knowledge-based systems
Algorithms & data structures
Information theory
Information technology: general issues
ISBN 981-16-2881-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996464443103316
Chen Chung-Chi  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
From Opinion Mining to Financial Argument Mining
From Opinion Mining to Financial Argument Mining
Autore Chen Chung-Chi
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (102 pages)
Altri autori (Persone) HuangHen-Hsen
ChenHsin-Hsi
Collana SpringerBriefs in Computer Science
Soggetto topico Natural language & machine translation
Data mining
Algorithms & data structures
Artificial intelligence
Information technology: general issues
Soggetto non controllato Natural Language Processing (NLP)
Data Mining and Knowledge Discovery
Data Structures and Information Theory
Artificial Intelligence
Computer Applications
Data Science
Computer and Information Systems Applications
Open Access
financial opinion mining
text mining in finance
financial technology application
FinTech
argument mining in finance
opinion quality evaluation
numeral understanding
Natural language & machine translation
Data mining
Expert systems / knowledge-based systems
Algorithms & data structures
Information theory
Information technology: general issues
ISBN 981-16-2881-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910482868303321
Chen Chung-Chi  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui