Proceedings Article10.1109/VLHCC.2009.5295262
QueryMarvel: A visual query language for temporal patterns using comic strips
Jing Jin,Pedro Szekely +1 more
- 20 Sep 2009
- pp 207-214
TL;DR: QueryMarvel is an interactive visual query environment that allows ordinary users to easily and efficiently specify complex temporal patterns and uses and extends the semantic elements and rules of comic strips with the goal to make specifying and interpreting temporal patterns as easy as reading and writing a comic story.
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Abstract: In many domains, decision makers want to find and understand patterns of events as these patterns often give insight into the causal relationships among events. Current systems to specify patterns are either too difficult to use or only support simple patterns. We present QueryMarvel, an interactive visual query environment that allows ordinary users to easily and efficiently specify complex temporal patterns. It uses and extends the semantic elements and rules of comic strips with the goal to make specifying and interpreting temporal patterns as easy as reading and writing a comic story. User tests show that using QueryMarvel, users can understand and create temporal patterns faster and with fewer errors than using a form-based interface.
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Emanuel Zgraggen,Steven M. Drucker,Danyel Fisher,Robert DeLine +3 more
- 18 Apr 2015
TL;DR: (s|qu)eries is a touch-based system that exposes the full expressive power of regular expressions in an approachable way and interleaves query specification with result visualizations, and encourages iterative query-building as well as exploratory work-flows.
Querying event sequences by exact match or similarity search: Design and empirical evaluation
TL;DR: A new similarity search interface is described, in which users specify a query by simply placing events on a blank timeline and retrieve a similarity-ranked list of results, behind which the users can customize by four decision criteria.
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What is a visual language
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References
•Journal Article
Maintaining knowledge about temporal intervals
TL;DR: An interval-based temporal logic is introduced, together with a computationally effective reasoning algorithm based on constraint propagation, which is notable in offering a delicate balance between space and time.
7.9K
Maintaining knowledge about temporal intervals
TL;DR: In this paper, an interval-based temporal logic is introduced, together with a computationally effective reasoning algorithm based on constraint propagation, which is notable in offering a delicate balance between time and space.
Illuminating the Path: The Research and Development Agenda for Visual Analytics
James J. Thomas,Kristin A. Cook +1 more
- 01 Jan 2005
TL;DR: This is the book form of the Research and Development Agenda for Visual Analytics to be published by IEEE in 2005.
2.2K
Aligning temporal data by sentinel events: discovering patterns in electronic health records
Taowei David Wang,Catherine Plaisant,Alexander J. Quinn,Roman Stanchak,Shawn N. Murphy,Ben Shneiderman +5 more
- 06 Apr 2008
TL;DR: An interactive visual tool is presented that complements query formulation by providing operations to align, rank and filter the results, and to visualize estimates of the intervals of validity of the data.
A Visual Interface for Multivariate Temporal Data: Finding Patterns of Events across Multiple Histories
Jerry Alan Fails,Amy K. Karlson,Layla Shahamat,Ben Shneiderman +3 more
- 26 Dec 2006
TL;DR: PatternFinder is presented, an integrated interface for query and result-set visualization for search and discovery of temporal patterns within multivariate and categorical data sets and defines temporal patterns as sequences of events with inter-event time spans.