Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery

Häftad, Engelska, 2023

Del i serien Studies in Computational Intelligence

1 745 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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

Utgivningsdatum:2023-06-06
Mått:155 x 235 x 37 mm
Vikt:1 031 g
Format:Häftad
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:674
Förlag:Springer Nature Switzerland AG
ISBN:9783030931216

Utforska kategorier

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

Innehållsförteckning

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?