Automic Software Gmbh

Uc4 Software Gmbh

Martin Suntinger

Josef Schiefer

Hannes Obweger

Christian Rauscher

Gerd Saurer

Heinz Roth

Szabolcs Rozsnyai

A method of processing raw events to typed events, each raw event including data items containing data values, the method includes: providing a library of event type objects, each event type object relating to a given event type and including attributes of given data types, the attributes in each event type object structured according to a given structure; for each raw event, determining an event type object in the library which meets: (i) each of the data items in the raw event maps to an attribute in the event type object, and (ii) a data value in each of the data items is of a data type detected to match the given data type of the mapped attribute; and generating a typed event from each raw event, the typed event including the data values of the raw event structured according to the structure of the determined event type object.

Method of processing a source set of raw events to a target set of typed events

A method of visualizing sets of correlated events of a stream of events on a display, each event having a time of occurrence in the stream and at least one attribute indicating its correlation with the other events of a set, including the steps of plotting a glyph for each event on the display at a radial distance and an angular position with respect to an origin; the radial distance and the size of a glyph being proportional to the occurrence time of its event; the angular position of the glyph of a succeeding event in a set being chosen equal to that of the preceding event in the set unless these two glyphs would over-lap in which case the angular position of the glyph of said subsequent event is shifted in a given direction by an amount just sufficient to avoid such overlap; and the angular position of the glyph of the first event in a set being chosen so that overlapping of all glyphs is minimized.

Method of visualizing sets of correlated events on a display

A method of detecting a reference sequence of events in a sample sequence of events, wherein each event is of a certain event type and holds a set of data attributes, includes the steps of: picking candidate combinations of events from said sample sequence so that the event types within each candidate combination match the event types in the reference sequence, calculating an overall similarity score for each candidate combination from at least (i) an event occurrence score based on occurrence deviations representing a count of non-matching events between the events of a candidate combination matching events of the reference sequence and (ii) an attribute match score based on similarity deviations between the data attributes of the events of a candidate combination and the data attributes of the matching events of the reference sequence, and identifying the candidate combination with the best overall similarity score as reference sequence detected.

Method of detecting a reference sequence of events in a sample sequence of events

A method of detecting a reference sequence of events in a sample sequence of events, wherein each event is of a certain event type and holds a set of data attributes, includes the steps of: picking candidate combinations of events from said sample sequence so that the event types within each candidate combination match the event types in the reference sequence, calculating an overall similarity score for each candidate combination from at least (i) an event occurrence score based on occurrence deviations of the events of a candidate combination with respect to the matching events of the reference sequence and (ii) an attribute match score based on similarity deviations between the data attributes of the events of a candidate combination and the data attributes of the matching events of the reference sequence, and identifying the candidate combination with the best overall similarity score as reference sequence detected.

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Vienna, Austria

Martin Suntinger