Widespread interest in discovering features and trends in time- series has generated a need for tools that support interactive exploration.This paper introduces timeboxes: a powerful graphical, direct-manipulation metaphor for the specification of queries over time-series datasets. Our TimeFinder implementation of timeboxes supports interactive formulation and modification of queries, thus speeding the process of exploring time-series data sets and guiding data mining. TimeFinder includes windows for timebox queries, individual time-series, and details-on-demand. Other features include drag-and-drop support for query-by-example and graphical envelopes for displaying the extent of the entire data set and result set from a given query. Extensions involving increased expressive power and general temporal data sets are discussed.