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Dynamic Query Tools for Time Series Data Sets, Timebox Widgets for Interactive Exploration (01 Nov 2004)
Analysts in many domains study measurable quantities that change over time. Financiers examining trends in economic indicators, meteorologists studying climate data, demographers quantifying trends in census data, and numerous others use time series graphs, statistical evaluations, and other tools to identify patterns and find trends in these time series data sets. Our motivation for this work stems from collaboration with molecular biologists who are studying gene expression data, where typical experiments involve thousands of gene over tens of time periods. Algorithmic and statistical methods for identifying patterns have provided substantial functionality in a wide variety of situations,1–4 but this research only addresses one aspect of the analysis problem. The question of query formulation – which questions are worth asking? – is often left unanswered.
Article URL: ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/2004-26html/2004-26.pdf

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