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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|