<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In this presentation, we discuss how a data warehouse can support situational awareness and data forensic needs for investigation of event streams violating rules. The data warehouse for event streams can contain summary tables showing rule violation on different aggregation level. We will introduce the classification of rules and the concept of a general aggregation graph for defining various classes of rules violation and their relationships. The data warehouse system containing various rule violation aggregations will allow the data forensics experts to have the ability to “drill-down” into event data across different data warehouse dimensions. The event stream real-time processing and other software modules can also use the summarizations to discover if current events bursts satisfy rules by comparing them with historic event bursts.</p></abstract>

In this presentation, we discuss how a data warehouse can support situational awareness and data forensic needs for investigation of event streams violating rules. The data warehouse for event streams can contain summary tables showing rule violation on different aggregation level. We will introduce the classification of rules and the concept of a general aggregation graph for defining various classes of rules violation and their relationships. The data warehouse system containing various rule violation aggregations will allow the data forensics experts to have the ability to “drill-down” into event data across different data warehouse dimensions. The event stream real-time processing and other software modules can also use the summarizations to discover if current events bursts satisfy rules by comparing them with historic event bursts.

Data Warehouse for Event Streams Violating Rules

Department of Mathematics and Computer Science, Fayetteville State University, Fayetteville, USA

CSIIR Group, CSE Division, Oak Ridge National Laboratory, Oak Ridge, USA

Foundations of Computing and Decision Sciences

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In this presentation, we discuss how a data warehouse can support situational awareness and data forensic needs for investigation of event streams violating...

Data Warehouse for Event Streams Violating Rules

Online veröffentlicht: 18. Juni 2013

Seitenbereich: 87 - 96

DOI: https://doi.org/10.2478/fcds-2013-0001

This content is open access.