Willem G. Knoop
Xirion B.V.
Event data stems from many different sources and the information it carries may be very divers. Often, huge amounts of data are generated. To fight the overwhelming amount of information, humans tend to filter the data, looking for expected events that require action. The problem with this approach is that events that are not expected will be filtered out. However, the goal to analyze event data in the first place, is to capture unexpected events. An alternative approach is to take an unfiltered look at the data. This can be done by presenting visualizations of the data using an interactive tool which supports features like: zooming into details while keeping a visual reference to the context, navigate through large amounts of data, adjusting aspects of the presentation (like color) to match certain conditions for attributes of the event data and switching between different visualization techniques. When such a tool is employed, a domain expert can 'play' with the data, which enables him to discover patterns. These patterns form the basis of new hypotheses that can be verified. In principle, this may eventually lead to the development of a new filter that can be used for daily routine testing. |
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