Advances in Intelligent Data Analysis XVII / Duivesteijn, Wouter ; Siebes, Arno ; Ukkonen, Antti  

Público ISBD Ningún comentario para este registro. Título : Advances in Intelligent Data Analysis XVII : 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. Idioma : Inglés (eng) 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 Clasificación: 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. Tipo de medio : Computadora Summary : This book constitutes the conference proceedings of the 17th International Symposium on Intelligent Data Analysis, which was held in October 2018 in 's-Hertogenbosch, the Netherlands. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis. The 29 full papers presented in this book were carefully reviewed and selected from 65 submissions. The papers cover all aspects of intelligent data analysis, including papers on intelligent support for modeling and analyzing data from complex, dynamical systems. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Intelligent Data Analysis XVII : 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. Idioma : Inglés (eng) 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 Clasificación: 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. Tipo de medio : Computadora Summary : This book constitutes the conference proceedings of the 17th International Symposium on Intelligent Data Analysis, which was held in October 2018 in 's-Hertogenbosch, the Netherlands. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis. The 29 full papers presented in this book were carefully reviewed and selected from 65 submissions. The papers cover all aspects of intelligent data analysis, including papers on intelligent support for modeling and analyzing data from complex, dynamical systems. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

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