Showing papers by "Kazuo Misue published in 2011"
13 Jul 2011
TL;DR: A hybrid layout style of anchored maps and matrix representations are proposed, and an automatic drawing technique is shown, to provide aesthetically pleasing layouts of graphs with high readability.
Abstract: A bipartite graph consists of a set of nodes that can be divided into two partitions such that no edge has both endpoints in the same partition. A semi-bipartite graph is a bipartite graph with edges in one partition. Anchored map is a graph drawing technique for bipartite graphs and provides aesthetically pleasing layouts of graphs with high readability by restricting the positions of nodes in a partition. For this research, the objects of the anchored map technique were extended to semi-bipartite graphs. A hybrid layout style of anchored maps and matrix representations are proposed, and an automatic drawing technique is shown. The proposed technique arranges the nodes in one partition on a circumference like the anchored map of bipartite graphs. It also divides nodes in the other partition with edges into clusters and represents them in the matrix representations to make it easy to see connective subsets.
8 citations
04 Aug 2011
TL;DR: An intermediate representation between tabular forms and parallel coordinates is proposed and a tool that can manipulate these representations for the analysis of multidimensional data is developed.
Abstract: An intermediate representation between tabular forms and parallel coordinates is proposed. The new representation makes it possible to switch back and forth between tables and parallel coordinates in smooth transformations. The authors have developed a tool that can manipulate these representations for the analysis of multidimensional data. Through experimental evaluation, the advantages of this tool are illustrated. It is expected that both the representation and the tool offer a significant improvement to the early stage of data analysis.
1 citations
13 Jul 2011
TL;DR: A tool to support music discovery is described that visualizes a relational structure among music genres and the music-preference data of many listeners to make the users aware of their favorite music without explicit information.
Abstract: In recent years, music-finding services have been increasing. If we have explicit information specifying pieces of music, we can find music to our taste using such services. This paper describes a tool to support music discovery. The tool visualizes a relational structure among music genres and the music-preference data of many listeners to make the users aware of their favorite music without explicit information. A case study is described to illustrate the usefulness of the tool.
1 citations