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 …

In the analysis of multidimensional data sets questions involving detection of extremal
events, correlations, patterns and trends play an increasingly important role in a variety of …

In the analysis of multidimensional time series data questions involving extremal events,
trends and patterns play an increasingly important role in several applications. We focus on …

During the last few years, databases have been growing in size, varieties of data, numbers
of users and diversity of applications. Many such applications deal with data characterized …

In the analysis of spatially-referenced time-dependent data, gaining an understanding of the
spatio-temporal distributions and relationships among the attributes in the data can be quite …

We represent time-varying data as polyline charts very often. At the same time, we often
need to observe hundreds or even thousands of time-varying values in one chart. However …

This paper presents an approach for the interactive visualization, exploration and
interpretation of large multivariate time series. Interesting patterns in such datasets usually …

Time‐series data is a common target for visual analytics, as they appear in a wide range of
application domains. Typical tasks in analyzing time‐series data include identifying cyclic …

This chapter is devoted to a structured survey of existing techniques for visualizing time and
time-oriented data. Overall, 101 different visualization techniques are presented on a per …

Time-tunnel proposed by Akaishi et al. is a multidimensional data analysis tool. Time-tunnel
visualizes any number of time series numerical data records as individual charts each of …