| Título : |
17th International Symposium, IDA 2018, 's-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings |
| Tipo de documento: |
documento electrónico |
| Autores: |
Duivesteijn, Wouter, ; Siebes, Arno, ; Ukkonen, Antti, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2018 |
| Número de páginas: |
XIII, 394 p. 133 ilustraciones |
| ISBN/ISSN/DL: |
978-3-030-01768-2 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Gestión de base de datos Inteligencia artificial Red de computadoras Software de la aplicacion Redes de comunicación informática Aplicaciones informáticas y de sistemas de información |
| Índice Dewey: |
005.74 Ciencia de los computadores (Archivos de datos y bases de datos) |
| Resumen: |
Este libro constituye las actas de la conferencia del 17.° Simposio Internacional sobre Análisis Inteligente de Datos, que se celebró en octubre de 2018 en ''s-Hertogenbosch, Países Bajos. El enfoque tradicional de la serie de simposios de IDA es el soporte inteligente de extremo a extremo para el análisis de datos. Los 29 artículos completos presentados en este libro fueron cuidadosamente revisados y seleccionados entre 65 envíos. Los artículos cubren todos los aspectos del análisis de datos inteligente, incluidos artículos sobre soporte inteligente para modelar y analizar datos de sistemas dinámicos complejos. |
| Nota de contenido: |
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. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
17th International Symposium, IDA 2018, 's-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings [documento electrónico] / Duivesteijn, Wouter, ; Siebes, Arno, ; Ukkonen, Antti, . - 1 ed. . - [s.l.] : Springer, 2018 . - XIII, 394 p. 133 ilustraciones. ISBN : 978-3-030-01768-2 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Gestión de base de datos Inteligencia artificial Red de computadoras Software de la aplicacion Redes de comunicación informática Aplicaciones informáticas y de sistemas de información |
| Índice Dewey: |
005.74 Ciencia de los computadores (Archivos de datos y bases de datos) |
| Resumen: |
Este libro constituye las actas de la conferencia del 17.° Simposio Internacional sobre Análisis Inteligente de Datos, que se celebró en octubre de 2018 en ''s-Hertogenbosch, Países Bajos. El enfoque tradicional de la serie de simposios de IDA es el soporte inteligente de extremo a extremo para el análisis de datos. Los 29 artículos completos presentados en este libro fueron cuidadosamente revisados y seleccionados entre 65 envíos. Los artículos cubren todos los aspectos del análisis de datos inteligente, incluidos artículos sobre soporte inteligente para modelar y analizar datos de sistemas dinámicos complejos. |
| Nota de contenido: |
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. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
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