Mao Huang - Academia.edu (original) (raw)
Papers by Mao Huang
2009 13th International Conference Information Visualisation, 2009
Bar chart is a very common and simple graph that is mainly used to visualize simple x, y plots of... more Bar chart is a very common and simple graph that is mainly used to visualize simple x, y plots of data for numerical comparisons by partitioning the categorical data values into bars and typically limited to operate on highly aggregated dataset. In today's growing complexity of business data with multi dimensional attributes. Bar chart itself is not sufficient to deal with the representation of such business dataset and it also not utilizes the screen space efficiently. Nevertheless, bar chart is still useful because of its shape create strong visual attention to users at first glance than other visualization techniques. In this article, we present a treemap bar chart + tablelens interaction technique that combines the treemap and bar chart visualizations with a tablelens based zooming technique that allows users to view the detail of a particular bar when the density of bars increases. In our approach, the capability of the original bar chart and treemaps for representing complex business data is enhanced and the utilization of display space is also optimized.
Force-directed algorithms are widely used in practice for graph drawing. How to evaluate this typ... more Force-directed algorithms are widely used in practice for graph drawing. How to evaluate this type of algorithms has been a challenging issue since their performance largely depends on input parameters and thus is not consistent. In this paper, we first review previous approaches used for evaluation of force-directed algorithms. We then present a case study that compares two force-directed algorithms
Computer Graphics, Imaging and Vision, 2008
Graph visualization has been widely used in realworld applications, as it provides better present... more Graph visualization has been widely used in realworld applications, as it provides better presentation of overall data structure. However, there are navigation problems existing in deep and large relational datasets. To address these challenges, a new technique called multi-context visualization, which provides users with rich contextual information, has been proposed as the solution to the navigation in large scale datasets.
IEEE Symposium on Information Visualization, 2002. …, 2002
Page 1. A Space-Optimized Tree Visualization Quang Vinh Nguyen Faculty of Information Technology ... more Page 1. A Space-Optimized Tree Visualization Quang Vinh Nguyen Faculty of Information Technology University of Technology, Sydney NSW 2000, Australia quvnguye@it.uts. edu.au Mao Lin Huang Faculty of Information Technology ...
... To be able to map the multiple dimensional network data into the geometrical plane ... parall... more ... To be able to map the multiple dimensional network data into the geometrical plane ... parallel coordinate method has been proven to be an effective tool for displaying multi ... Several enhancements have been proposed to overcome the drawback of parallel coordinate visualization. ...
Lecture Notes in Computer Science, 2009
Visualization is helpful for clustering high dimensional data. The goals of visualization in data... more 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 techniques developed for cluster analysis are primarily focused on cluster presentation rather than cluster exploration. Several techniques have been proposed to explore cluster information by visualization, but most of them depend
2009 13th International Conference Information Visualisation, 2009
Bar chart is a very common and simple graph that is mainly used to visualize simple x, y plots of... more Bar chart is a very common and simple graph that is mainly used to visualize simple x, y plots of data for numerical comparisons by partitioning the categorical data values into bars and typically limited to operate on highly aggregated dataset. In today's growing complexity of business data with multi dimensional attributes. Bar chart itself is not sufficient to deal with the representation of such business dataset and it also not utilizes the screen space efficiently. Nevertheless, bar chart is still useful because of its shape create strong visual attention to users at first glance than other visualization techniques. In this article, we present a treemap bar chart + tablelens interaction technique that combines the treemap and bar chart visualizations with a tablelens based zooming technique that allows users to view the detail of a particular bar when the density of bars increases. In our approach, the capability of the original bar chart and treemaps for representing complex business data is enhanced and the utilization of display space is also optimized.
Force-directed algorithms are widely used in practice for graph drawing. How to evaluate this typ... more Force-directed algorithms are widely used in practice for graph drawing. How to evaluate this type of algorithms has been a challenging issue since their performance largely depends on input parameters and thus is not consistent. In this paper, we first review previous approaches used for evaluation of force-directed algorithms. We then present a case study that compares two force-directed algorithms
Computer Graphics, Imaging and Vision, 2008
Graph visualization has been widely used in realworld applications, as it provides better present... more Graph visualization has been widely used in realworld applications, as it provides better presentation of overall data structure. However, there are navigation problems existing in deep and large relational datasets. To address these challenges, a new technique called multi-context visualization, which provides users with rich contextual information, has been proposed as the solution to the navigation in large scale datasets.
IEEE Symposium on Information Visualization, 2002. …, 2002
Page 1. A Space-Optimized Tree Visualization Quang Vinh Nguyen Faculty of Information Technology ... more Page 1. A Space-Optimized Tree Visualization Quang Vinh Nguyen Faculty of Information Technology University of Technology, Sydney NSW 2000, Australia quvnguye@it.uts. edu.au Mao Lin Huang Faculty of Information Technology ...
... To be able to map the multiple dimensional network data into the geometrical plane ... parall... more ... To be able to map the multiple dimensional network data into the geometrical plane ... parallel coordinate method has been proven to be an effective tool for displaying multi ... Several enhancements have been proposed to overcome the drawback of parallel coordinate visualization. ...
Lecture Notes in Computer Science, 2009
Visualization is helpful for clustering high dimensional data. The goals of visualization in data... more 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 techniques developed for cluster analysis are primarily focused on cluster presentation rather than cluster exploration. Several techniques have been proposed to explore cluster information by visualization, but most of them depend