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Advances in Intelligent Data Analysis XVII [[electronic resource] ] : 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings / / edited by Wouter Duivesteijn, Arno Siebes, Antti Ukkonen
| Advances in Intelligent Data Analysis XVII [[electronic resource] ] : 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings / / edited by Wouter Duivesteijn, Arno Siebes, Antti Ukkonen |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIII, 394 p. 133 illus.) |
| Disciplina | 006.4 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Artificial intelligence Computers Application software Database Management Artificial Intelligence Information Systems and Communication Service Computer Applications |
| ISBN | 3-030-01768-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Elements of an Automatic Data Scientist -- The Need for Interpretability Biases Open Data Science -- Automatic POI Matching Using an Outlier Detection Based Approach -- Fact Checking from Natural Text with Probabilistic Soft Logic -- ConvoMap: Using Convolution to Order Boolean Data -- Training Neural Networks to distinguish craving smokers, non-craving smokers, and non-smokers -- Missing Data Imputation via Denoising Autoencoders: the untold story -- Online Non-Linear Gradient Boosting in Multi-Latent Spaces -- MDP-based Itinerary Recommendation using Geo-Tagged Social Media -- Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization -- Non-Negative Local Sparse Coding for Subspace Clustering -- Pushing the Envelope in Overlapping Communities Detection.-Right for the Right Reason: Training Agnostic Networks -- Link Prediction in Multi-Layer Networks and its Application to Drug Design -- A hierarchical Ornstein-Uhlenbeck model for stochastic time series analysis -- Analysing the footprint of classi_ers in overlapped and imbalanced contexts -- Tree-based Cost Sensitive Methods for Fraud Detection in Imbalanced Data -- Reduction Stumps for Multi-Class Classification -- Decomposition of quantitative Gaifman graphs as a data analysis tool -- Exploring the Effects of Data Distribution in Missing Data Imputation -- Communication-free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors -- Expert finding in Citizen Science platform for biodiversity monitoring via weighted PageRank algorithm -- Random forests with latent variables to foster feature selection in the context of highly correlated variables. Illustration with a bioinformatics application.-Don't Rule Out Simple Models Prematurely: a Large Scale Benchmark Comparing Linear and Non-linear Classifiers in OpenML -- Detecting Shifts in Public Opinion: a big data study of global news content -- Biased Embeddings from Wild Data: Measuring, Understanding and Removing -- Real-Time Excavation Detection at Construction Sites using Deep Learning -- COBRAS: Interactive Clustering with Pairwise Queries -- Automatically Wrangling Spreadsheets into Machine Learning Data Formats -- Learned Feature Generation for Molecules. |
| Record Nr. | UNISA-996466327903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Intelligent Data Analysis XVII : 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings / / edited by Wouter Duivesteijn, Arno Siebes, Antti Ukkonen
| Advances in Intelligent Data Analysis XVII : 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings / / edited by Wouter Duivesteijn, Arno Siebes, Antti Ukkonen |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIII, 394 p. 133 illus.) |
| Disciplina | 006.4 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Artificial intelligence Computers Application software Database Management Artificial Intelligence Information Systems and Communication Service Computer Applications |
| ISBN | 3-030-01768-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Elements of an Automatic Data Scientist -- The Need for Interpretability Biases Open Data Science -- Automatic POI Matching Using an Outlier Detection Based Approach -- Fact Checking from Natural Text with Probabilistic Soft Logic -- ConvoMap: Using Convolution to Order Boolean Data -- Training Neural Networks to distinguish craving smokers, non-craving smokers, and non-smokers -- Missing Data Imputation via Denoising Autoencoders: the untold story -- Online Non-Linear Gradient Boosting in Multi-Latent Spaces -- MDP-based Itinerary Recommendation using Geo-Tagged Social Media -- Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization -- Non-Negative Local Sparse Coding for Subspace Clustering -- Pushing the Envelope in Overlapping Communities Detection.-Right for the Right Reason: Training Agnostic Networks -- Link Prediction in Multi-Layer Networks and its Application to Drug Design -- A hierarchical Ornstein-Uhlenbeck model for stochastic time series analysis -- Analysing the footprint of classi_ers in overlapped and imbalanced contexts -- Tree-based Cost Sensitive Methods for Fraud Detection in Imbalanced Data -- Reduction Stumps for Multi-Class Classification -- Decomposition of quantitative Gaifman graphs as a data analysis tool -- Exploring the Effects of Data Distribution in Missing Data Imputation -- Communication-free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors -- Expert finding in Citizen Science platform for biodiversity monitoring via weighted PageRank algorithm -- Random forests with latent variables to foster feature selection in the context of highly correlated variables. Illustration with a bioinformatics application.-Don't Rule Out Simple Models Prematurely: a Large Scale Benchmark Comparing Linear and Non-linear Classifiers in OpenML -- Detecting Shifts in Public Opinion: a big data study of global news content -- Biased Embeddings from Wild Data: Measuring, Understanding and Removing -- Real-Time Excavation Detection at Construction Sites using Deep Learning -- COBRAS: Interactive Clustering with Pairwise Queries -- Automatically Wrangling Spreadsheets into Machine Learning Data Formats -- Learned Feature Generation for Molecules. |
| Record Nr. | UNINA-9910349402403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||