Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery

Table of Contents

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   Book Overview
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   Chapter 1 Visual Knowledge Discovery with Artificial Intelligence: Challenges and Future Directions
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   Chapter 2 Visual Analytics for Strategic Decision Making in Technology Management
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   Chapter 3 Deep Learning Image Recognition for Non-images
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   Chapter 4 Self-service Data Classification Using Interactive Visualization and Interpretable Machine Learning
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   Chapter 5 Non-linear Visual Knowledge Discovery with Elliptic Paired Coordinates
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   Chapter 6 Convolutional Neural Networks Analysis Using Concentric-Rings Interactive Visualization
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   Chapter 7 “Negative” Results—When the Measured Quantity Is Outside the Sensor’s Range—Can Help Data Processing
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   Chapter 8 Visualizing and Explaining Language Models
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    Chapter 9 Transparent Clustering with Cyclic Probabilistic Causal Models
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    Chapter 10 Visualization and Self-Organising Maps for the Characterisation of Bank Clients
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    Chapter 11 Augmented Classical Self-organizing Map for Visualization of Discrete Data with Density Scaling
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    Chapter 12 Gragnostics: Evaluating Fast, Interpretable Structural Graph Features for Classification and Visual Analytics
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    Chapter 13 VisIRML: Visualization with an Interactive Information Retrieval and Machine Learning Classifier
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    Chapter 14 Visual Analytics of Hierarchical and Network Timeseries Models
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    Chapter 15 ML Approach to Predict Air Quality Using Sensor and Road Traffic Data
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    Chapter 16 Context-Aware Diagnosis in Smart Manufacturing: TAOISM, An Industry 4.0-Ready Visual Analytics Model
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    Chapter 17 Visual Discovery of Malware Patterns in Android Apps
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    Chapter 18 Integrating Visual Exploration and Direct Editing of Multivariate Graphs
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    Chapter 19 Real-Time Visual Analytics for Air Quality
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    Chapter 20 Using Hybrid Scatterplots for Visualizing Multi-dimensional Data
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    Chapter 21 Extending a Genetic-Based Visualization: Going Beyond the Radial Layout?
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    Chapter 22 Dual Y Axes Charts Defended: Case Studies, Domain Analysis and a Method
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    Chapter 23 Hierarchical Visualization for Exploration of Large and Small Hierarchies
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    Chapter 24 Geometric Analysis Leads to Adversarial Teaching of Cybersecurity
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    Chapter 25 Applications and Evaluations of Drawing Scatterplots as Polygons and Outlier Points