Eventsummarizer: a tool for summarizing large event sequences

ABSTRACT We present 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 nonoverlapping 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 attribute. Our system is parameter free and has a visual interface that provides the user with a global view of the input sequence via the segmentation of the timeline. The easyto-use interface provides the user with the option to further examine the activity and associations of event types within each segment

Supporting deductive and active rules on top of a relational DBMS

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Constructing comprehensive summaries of large event sequences

sequence

Policy-Based Management and Sharing of Sensitive Information among Government Agencies

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