Del i serien Studies in Computational Intelligence

Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery

Inbunden, Engelska, 2022

AvBoris Kovalerchuk,Kawa Nazemi,Răzvan Andonie,Nuno Datia,Ebad Banissi

2 279 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. The sections of this book cover integrated systems, supervised learning, unsupervised learning, optimization, and evaluation of visualizations.

Produktinformation

Utgivningsdatum2022-06-05
Mått155 x 235 x 43 mm
Vikt1 191 g
FormatInbunden
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor674
FörlagSpringer Nature Switzerland AG
ISBN9783030931186

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT

Visual Analytics for Strategic Decision Making in Technology Management.- Deep Learning Image Recognition for Non-images.- Self-service Data Classification Using Interactive Visualization and Interpretable Machine Learning.- Non-linear Visual Knowledge Discovery with Elliptic Paired Coordinates.- Convolutional Neural Networks Analysis using Concentric-Rings Interactive Visualization.- “Negative” Results – When the Measured Quantity Is Outside the Sensor’s Range – Can Help Data Processing.- Visualizing and Explaining Language Models.- Transparent Clustering with Cyclic Probabilistic Causal Models.- Visualization and Self-Organizing Maps for the Characterization of Bank Clients.- Augmented Classical Self-Organizing Map for Visualization of Discrete Data with Density Scaling.- Gragnostics: Evaluating Fast, Interpretable Structural Graph Features for Classification and Visual Analytics.- VisIRML Visualization with an Interactive Information Retrieval and Machine Learning Classifier.- Visual Analytics of Hierarchical and Network Timeseries Models.- ML approach to predict air quality using sensor and road traffic data.- Context-Aware Diagnosis in Smart Manufacturing: TAOISM, an Industry 4.0-Ready Visual Analytics Model.- Visual discovery of malware patterns in Android apps.- Integrating Visual Exploration and Direct Editing of Multivariate Graphs.- Real-Time Visual Analytics for Air Quality.- Using Hybrid Scatterplots for Visualizing Multi‐Dimensional Data.- Extending a genetic-based visualization: going beyond the radial layout?.- Dual Y Axes Charts Defended: Case studies, domain analysis and a method.- Hierarchical Visualization for Exploration of Large and Small Hierarchies.- Geometric Analysis Leads to Adversarial Teaching of Cybersecurity.- Applications and Evaluations of Drawing Scatterplots as Polygons and Outlier Points.- Supply Chain and Decision Making: What is Next for Visualization?