CircleView: a new approach for visualizing time-related multidimensional data sets

ABSTRACT

This paper introduces a new approach for visualizing multidimensional time-referenced data sets, called Circle View. The Circle View technique is a combination of hierarchical visualization techniques, such as treemaps [6], and circular layout techniques such as Pie Charts and Circle Segments [2]. The main goal is to compare continuous data changing their characteristics over time in order to identify patterns, exceptions and similarities in the data.To achieve this goal Circle View is a intuitive and easy to understand visualization interface to enable the user very fast to acquire the information needed. This is an important feature for fast changing visualization caused by time related data streams. Circle View supports the visualization of the changing characteristics over time, to allow the user the observation of changes in the data. Additionally it provides user interaction and drill down mechanism depending on user demands for a effective exploratory data analysis. There is also the capability of exploring correlations and exceptions in the data by using similarity and ordering algorithms.

REFERENCES

• 1: Daniel A. Keim , Mihael Ankerst , Hans-Peter Kriegel, Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data, Proceedings of the 6th conference on Visualization '95, p.279, October 29-November 03, 1995
• 2: ANKERST, M., KEIM, D. A., AND KRIEGEL, H.-P. Circle segments: A technique for visually exploring large multidimensional data sets. In Visualization '96, Hot Topic Session, San Francisco, CA (1996).
• 3: John V. Carlis , Joseph A. Konstan, Interactive visualization of serial periodic data, Proceedings of the 11th annual ACM symposium on User interface software and technology, p.29-38, November 01-04, 1998, San Francisco, California, United States [doi>10.1145/288392.288399]
• 4: I. POPIVANOV, R. M. Similarity search over time series data using wavelets. In ICDE 2002 (2002).
• 5: KEIM, D. A., HAO, M. C., DAYAL, U., AND HSU, M. Pixel bar charts: A visualization technique for very large multi-attribute data sets. Visualization, San Diego 2001, extended version in: IEEE Transactions on Visualization and Computer Graphics 7, 2002 (2002).
• 6: Ben Shneiderman, Tree visualization with tree-maps: 2-d space-filling approach, ACM Transactions on Graphics (TOG), v.11 n.1, p.92-99, Jan. 1992 [doi>10.1145/102377.115768]
• 7: Ben Shneiderman, The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations, Proceedings of the 1996 IEEE Symposium on Visual Languages, p.336, September 03-06, 1996
• 8: Y. ZHU, D. S. Statstream: Statistical monitoring of thousands of data streams in real time. In VLDB 2002 (2002), pp. 358--369.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)

Keywords:
advanced visual interface, continuos data streams, information visualization, visual data mining