22 Result(s)
within
Chapter
Mao Lin Huang
English
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Chapter
Using Hybrid Scatterplots for Visualizing Multi-dimensional Data
Scatterplot visualization techniques are known as a useful method that shows the correlations of variables on the axes, as well as revealing patterns or abnormalities in the multidimensional data sets. They ar...
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Chapter and Conference Paper
Semantic Topic Discovery for Lecture Video
With more and more lecture, videos are available on the Internet, on-line learning and e-learning are getting increasing concerns because of many advantages such as high degree of interactivity. The semantic c...
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Chapter and Conference Paper
What Next in Designing Personalized Visualization of Web Information
Current state of the art in personalized visualization of web information is tailored to provide a better view of how the information is resided and connected to each other inside the internet. With the recent...
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Chapter and Conference Paper
Areas of Life Visualisation: Growing Data-Reliance
This paper presents a framework to mine and identify the areas of life and the way they are perceived, understood cognitively, and effectively using visualisation and machine learning. We provide an overview o...
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Chapter and Conference Paper
A Space Optimized Scatter Plot Matrix Visualization
This paper proposed a Space-Optimized Scatter Plot Matrix that used for the presentation of multi-dimensional dataset. This technique achieves the display space utilization in a 2D geometrical space. Our strat...
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Chapter and Conference Paper
Evaluating Overall Quality of Dynamic Network Visualizations
Visualizing dynamic networks is a challenging task. One of the challenges we face is how to maintain visual complexity and overall quality of visualizations at a reasonable and sustainable level so that the in...
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Chapter and Conference Paper
SumUp: Statistical Visual Query of Multivariate Data with Parallel-Coordinate Geometry
One of the most noticeable issues of parallel coordinate visualization is how to quantitatively analyze density caused by polyline growth in a limited space on axes. The existing visualization tools only suppo...
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Chapter and Conference Paper
A New Analytics Model for Large Scale Multidimensional Data Visualization
With the rise of Big Data, the challenge for modern multidimensional data analysis and visualization is how it grows very quickly in size and complexity. In this paper, we first present a classification method...
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Chapter and Conference Paper
Multi-Feature Face Recognition Based on 2D-PCA and SVM
Identification and authentication by face recognition mainly use global face features. However, the recognition accuracy rate is still not high enough. This research aims to develop a method to increase the ef...
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Chapter and Conference Paper
Parallel Rough Set: Dimensionality Reduction and Feature Discovery of Multi-Dimensional Data in Visualization
Attempt to visualize high dimensional datasets typically encounter over plotting and decline in visual comprehension that makes the knowledge discovery and feature subset analysis difficult. Hence, resha** t...
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Chapter and Conference Paper
Visual Analytics of Clinical and Genetic Datasets of Acute Lymphoblastic Leukaemia
This paper presents a novel visual analytics method that incorporates knowledge from the analysis domain so that it can extract knowledge from complex genetic and clinical data and then visualizing them in a m...
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Chapter and Conference Paper
A New Interactive Platform for Visual Analytics of Social Networks
This paper presents a new interactive platform for visual analytics of large networks and graphs. The platform integrates multiple graph layouts, interactive navigations and clustering algorithms into an effec...
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Chapter and Conference Paper
From Tree to Graph - Experiments with E-Spring Algorithm
Graph drawing and visualization represent structural information as diagrams of abstract graphs and networks. E-Spring Algorithm, derived from the popular spring embedder model, was proposed to eliminate node ove...
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Chapter and Conference Paper
A Visual Method for High-Dimensional Data Cluster Exploration
Visualization is helpful for clustering high dimensional data. The goals of visualization in data mining are exploration, confirmation and presentation of the clustering results. However, the most of visual te...
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Chapter
Context Visualization for Visual Data Mining
Context and history visualization plays an important role in visual data mining especially in the visual exploration of large and complex data sets. The preservation of context and history information in the v...
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Chapter and Conference Paper
RELT – Visualizing Trees on Mobile Devices
The small screens on increasingly used mobile devices challenge the traditional visualization methods designed for desktops. This paper presents a method called “Radial Edgeless Tree” (RELT) for visualizing tr...
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Chapter and Conference Paper
Visualization of Relational Structure Among Scientific Articles
This paper describes an ongoing technique to collecting, mining, clustering and visualizing scientific articles and their relations in information science. We aim to provide a valuable tool for researchers in ...
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Chapter
Creating Visual Browsers for Large-Scale Online Auctions
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Chapter and Conference Paper
Dynamic Visualization of Spatially Referenced Information
This paper proposes a dynamic visualization approach that combines the graph metaphor and the spatial metaphor for visualizing and navigating spatially referenced data. It provides users with a “marching” sche...
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Chapter
Flowchart Components for Program Visualization
Diagrams associated with programs (such as data flow call graphs, flowcharts, and Nassi-Shneiderman diagrams) help programmers or users to understand what the programs do, how they work and why they work. It w...
