The visual display of quantitative information
The visual display of quantitative information
Fast subsequence matching in time-series databases
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Finding patterns in time series: a dynamic programming approach
Advances in knowledge discovery and data mining
Interactive visualization of serial periodic data
Proceedings of the 11th annual ACM symposium on User interface software and technology
Relevance feedback retrieval of time series data
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Jazz: an extensible zoomable user interface graphics toolkit in Java
UIST '00 Proceedings of the 13th annual ACM symposium on User interface software and technology
Dynamic Queries for Visual Information Seeking
IEEE Software
Sketching a graph to query a time-series database
CHI '01 Extended Abstracts on Human Factors in Computing Systems
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Interactive Exploration of Time Series Data
DS '01 Proceedings of the 4th International Conference on Discovery Science
Indexing Time-Series Databases for Inverse Queries
DEXA '98 Proceedings of the 9th International Conference on Database and Expert Systems Applications
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
Visualization of Linear Time-Oriented Data: A Survey
WISE '00 Proceedings of the First International Conference on Web Information Systems Engineering (WISE'00)-Volume 1 - Volume 1
Generating English summaries of time series data using the Gricean maxims
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Dynamic query tools for time series data sets: timebox widgets for interactive exploration
Information Visualization
Visual Methods for Analyzing Time-Oriented Data
IEEE Transactions on Visualization and Computer Graphics
Stock time series visualization based on data point importance
Engineering Applications of Artificial Intelligence
Visual data mining of multimedia data for social and behavioral studies
Information Visualization
Relaxed selection techniques for querying time-series graphs
Proceedings of the 22nd annual ACM symposium on User interface software and technology
Categorizing classes of signals by means of fuzzy gradual rules
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Imprecise modelling using gradual rules and its application to the classification of time series
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
A review on time series data mining
Engineering Applications of Artificial Intelligence
STFMap: query- and feature-driven visualization of large time series data sets
Proceedings of the 21st ACM international conference on Information and knowledge management
Flowstrates: an approach for visual exploration of temporal origin-destination data
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Time series visualization based on shape features
Knowledge-Based Systems
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Relatively few query tools exist for data exploration and pattern identification in time series data sets. In previous work we introduced Time-boxes. Timeboxes are rectangular, direct-manipulation queries for studying time-series datasets. We demonstrated how Timeboxes can be used to support interactive exploration via dynamic queries, along with overviews of query results and drag-and-drop support for query-by-example. In this paper, we extend our work by introducing Variable Time Timeboxes (VTT). VTTs are a natural generalization of Timeboxes, which permit the specification of queries that allow a degree of uncertainty in the time axis. We carefully motivate the need for these more expressive queries, and demonstrate the utility of our approach on several data sets.