The need for pattern discovery in long time-series data led researchers to develop
interactive visualization tools and analytical algorithms for gaining insight into the data. Most …

Visual representations of time-series are useful for tasks such as identifying trends, patterns
and anomalies in the data. Many techniques have been devised to make these visual …

Time series are a data type of utmost importance in many domains such as business
management and service monitoring. We address the problem of visualizing large time …

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

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 …

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 …

Widespread interest in discovering features and trends in time-series has generated a need
for tools that support interactive exploration. This paper introduces timeboxes: a powerful …

Two complementary families of users' tasks may be identified during database visualization:
data browsing and data analysis. On the one hand, data browsing involves extensively …

Visualizing time series is useful to support discovery of relations and patterns in financial,
genomic, medical and other applications. Often, measurements are equally spaced over …

The analysis of time-dependent data is an important problem in many application domains,
and interactive visualization of time-series data can help in understanding patterns in large …