Visual Query of Multi-Dimensional Temporal Data
Jerry Alan Fails, Amy Karlson & Layla Shahamat
Abstract:
In this work we present an integrated interface for visual
query and result-set visualization for search and discovery
of temporal patterns within multi-dimensional data sets.
Many have proposed visual query languages for temporal
data but fail to address the presentation of the results.
Others have designed successful visualizations of temporal
data, but do not include support for ad-hoc query of
interesting patterns. We couple both stages of temporal
query in a single tool for exploration and discovery of
temporal patterns. We define temporal patterns as
sequences of Events with inter-event TimeSpans. Pattern
queries allow for Event and TimeSpan attributes to be
constrained in different ways. We formalize the types of
pattern queries our system supports according to the levels
of restriction imposed upon both Events and TimeSpans.
