Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Advances in Intelligent Data Analysis XV [[electronic resource] ] : 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings / / edited by Henrik Boström, Arno Knobbe, Carlos Soares, Panagiotis Papapetrou
| Advances in Intelligent Data Analysis XV [[electronic resource] ] : 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings / / edited by Henrik Boström, Arno Knobbe, Carlos Soares, Panagiotis Papapetrou |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 404 p. 146 illus.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Application software Artificial intelligence Information storage and retrieval Algorithms Data mining Database Management Information Systems Applications (incl. Internet) Artificial Intelligence Information Storage and Retrieval Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery |
| ISBN | 3-319-46349-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | DSCo-NG: A Practical Language Modeling Approach for Time Series Classification -- Ranking Accuracy for Logistic-GEE models -- The Morality Machine: Tracking Moral Values in Tweets -- A Hybrid Approach for Probabilistic Relational Models Structure Learning -- On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks -- Obtaining Shape Descriptors from a Concave Hull-Based Clustering Algorithm -- Visual Perception of Discriminative Landmarks in Classified Time Series -- Spotting the Diffusion of New Psychoactive Substances over the Internet -- Feature Selection Issues in Long-Term Travel Time Prediction -- A Mean-Field Variational Bayesian Approach to Detecting Overlapping Communities with Inner Roles Using Poisson Link Generation -- Online Semi-supervised Learning for Multi-target Regression in Data streams Using AMRules -- A Toolkit for Analysis of Deep Learning Experiments -- The Optimistic Method for Model Estimation -- Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML -- Learning from the News: Predicting Entity Popularity on Twitter -- Multi-scale Kernel PCA and Its Application to Curvelet-based Feature Extraction for Mammographic Mass Characterization -- Weakly-supervised Symptom Recognition for Rare Diseases in Biomedical Text -- Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data -- Widened Learning of Bayesian Network Classifiers -- Vote Buying Detection via Independent Component Analysis -- Unsupervised Relation Extraction in Specialized Corpora Using Sequence Mining -- A Framework for Interpolating Scattered Data Using Space-filling Curves -- Privacy-Awareness of Distributed Data Clustering Algorithms Revisited -- Bi-stochastic Matrix Approximation Framework for Data Co-clustering -- Sequential Cost-Sensitive Feature Acquisition -- Explainable and Efficient Link Prediction in Real-World Network Data -- DGRMiner: Anomaly Detection and Explanation in Dynamic Graphs -- Similarity Based Hierarchical Clustering with an Application to Text Collections -- Determining Data Relevance Using Semantic Types and Graphical Interpretation Cues -- A First Step Toward Quantifying the Climate's Information Production over the Last 68,000 Years -- HAUCA Curves for the Evaluation of Biomarker Pilot Studies with Small Sample Sizes and Large Numbers of Features -- Stability Evaluation of Event Detection Techniques for Twitter -- IDA 2016 Industrial Challenge: Using Machine Learning for Predicting Failures -- An Optimized k-NN Approach for Classification on Imbalanced Datasets with Missing Data -- Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance -- Prediction of Failures in the Air Pressure System of Scania Trucks Using a Random Forest and Feature Engineering. . |
| Record Nr. | UNISA-996466250703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Intelligent Data Analysis XV : 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings / / edited by Henrik Boström, Arno Knobbe, Carlos Soares, Panagiotis Papapetrou
| Advances in Intelligent Data Analysis XV : 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings / / edited by Henrik Boström, Arno Knobbe, Carlos Soares, Panagiotis Papapetrou |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 404 p. 146 illus.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Application software Artificial intelligence Information storage and retrieval Algorithms Data mining Database Management Information Systems Applications (incl. Internet) Artificial Intelligence Information Storage and Retrieval Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery |
| ISBN | 3-319-46349-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | DSCo-NG: A Practical Language Modeling Approach for Time Series Classification -- Ranking Accuracy for Logistic-GEE models -- The Morality Machine: Tracking Moral Values in Tweets -- A Hybrid Approach for Probabilistic Relational Models Structure Learning -- On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks -- Obtaining Shape Descriptors from a Concave Hull-Based Clustering Algorithm -- Visual Perception of Discriminative Landmarks in Classified Time Series -- Spotting the Diffusion of New Psychoactive Substances over the Internet -- Feature Selection Issues in Long-Term Travel Time Prediction -- A Mean-Field Variational Bayesian Approach to Detecting Overlapping Communities with Inner Roles Using Poisson Link Generation -- Online Semi-supervised Learning for Multi-target Regression in Data streams Using AMRules -- A Toolkit for Analysis of Deep Learning Experiments -- The Optimistic Method for Model Estimation -- Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML -- Learning from the News: Predicting Entity Popularity on Twitter -- Multi-scale Kernel PCA and Its Application to Curvelet-based Feature Extraction for Mammographic Mass Characterization -- Weakly-supervised Symptom Recognition for Rare Diseases in Biomedical Text -- Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data -- Widened Learning of Bayesian Network Classifiers -- Vote Buying Detection via Independent Component Analysis -- Unsupervised Relation Extraction in Specialized Corpora Using Sequence Mining -- A Framework for Interpolating Scattered Data Using Space-filling Curves -- Privacy-Awareness of Distributed Data Clustering Algorithms Revisited -- Bi-stochastic Matrix Approximation Framework for Data Co-clustering -- Sequential Cost-Sensitive Feature Acquisition -- Explainable and Efficient Link Prediction in Real-World Network Data -- DGRMiner: Anomaly Detection and Explanation in Dynamic Graphs -- Similarity Based Hierarchical Clustering with an Application to Text Collections -- Determining Data Relevance Using Semantic Types and Graphical Interpretation Cues -- A First Step Toward Quantifying the Climate's Information Production over the Last 68,000 Years -- HAUCA Curves for the Evaluation of Biomarker Pilot Studies with Small Sample Sizes and Large Numbers of Features -- Stability Evaluation of Event Detection Techniques for Twitter -- IDA 2016 Industrial Challenge: Using Machine Learning for Predicting Failures -- An Optimized k-NN Approach for Classification on Imbalanced Datasets with Missing Data -- Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance -- Prediction of Failures in the Air Pressure System of Scania Trucks Using a Random Forest and Feature Engineering. . |
| Record Nr. | UNINA-9910484968303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Intelligent Data Analysis XXII [[electronic resource] ] : 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24–26, 2024, Proceedings, Part II / / edited by Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou
| Advances in Intelligent Data Analysis XXII [[electronic resource] ] : 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24–26, 2024, Proceedings, Part II / / edited by Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou |
| Autore | Miliou Ioanna |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (286 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
PiatkowskiNico
PapapetrouPanagiotis |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Database management
Education - Data processing Image processing - Digital techniques Computer vision Artificial intelligence Machine learning Natural language processing (Computer science) Database Management System Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Machine Learning Natural Language Processing (NLP) |
| ISBN | 3-031-58553-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910847582103321 |
Miliou Ioanna
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Intelligent Data Analysis XXII : 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24–26, 2024, Proceedings, Part I / / edited by Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou
| Advances in Intelligent Data Analysis XXII : 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24–26, 2024, Proceedings, Part I / / edited by Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (XVI, 268 p. 74 illus., 61 illus. in color.) |
| Disciplina | 005.7 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Database management
Education - Data processing Image processing - Digital techniques Computer vision Artificial intelligence Machine learning Natural language processing (Computer science) Database Management System Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Machine Learning Natural Language Processing (NLP) |
| ISBN | 3-031-58547-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910847588803321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||