Fails, J., Karlson, A., Shahamat, L., Shneiderman, B.
April 2006
Proceedings of IEEE Symposium on Visual Analytics Science and Technology (VAST 2006), 167-174.
This paper presents an integrated interface for visual query and result-set visualization for search and discovery of temporal patterns within multivariate and categorical data sets. We extend work on visual query languages for temporal data with a novel interface and address the presentation of the result sets. ??Temporal patterns are sequences of events with inter-event time spans. Pattern queries allow events, event sets, event attributes, and time spans to be specified so as to produce powerful queries that are difficult to express in other formalisms. We formalize the types of pattern queries our system, PatternFinder, supports varying levels of specification on events and time spans. Finding patterns of events over time is important in searching patient histories, web logs, news stories, and more. Recently, it has also taken on increased importance in tracking criminal and terrorist activities.
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