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This paper presents EventSummarizer - a tool for extracting comprehensive summaries from large event sequences. EventSummarizer takes as input a sequence with events of different types that occur during an observation period, and creates a partitioning of this time period into contiguous non-overlapping intervals such that each interval can be described by a simple model. Within each interval local associations between events of different types are reported. EventSummarizer runs on top of any Relational DataBase Management System (RDBMS), on tables with a timestamp at-tribute. The system is parameter free and has a visual inter-face that provides the user with a global view of the input sequence via the segmentation of the timeline.
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