Smart monitoring
AssigneeInternational Business Machines Corporation
InventorsMichael D. Woods, Yea Jane Chu, Jing-Yun Shyr
Life of this patent
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AssigneeInternational Business Machines Corporation
InventorsMichael D. Woods, Yea Jane Chu, Jing-Yun Shyr
Estimating the term…
Approaches presented herein enable change detection in a data set underlying a time-dependent visualization by comparing annotation snapshots across time. More specifically, a plurality of annotation snapshots of an annotation generated based on an underlying data set of a time-dependent visualization are obtained at a plurality of points in time. These annotation snapshots are monitored for indicia of a pattern change over time against a predetermined reference point. Whether there has been a pattern change is determined based on the monitoring and, in response to detection of a pattern change, an alert is generated. If there has not been a pattern change, the annotation snapshots are monitored for indicia of an anomaly change over time against the predetermined reference point. Whether there has been an anomaly change is determined based on this monitoring and, in response to detection of an anomaly change, an alert is generated.
A method for detecting changes in a data set underlying a time-dependent visualization by comparing annotation snapshots across time, the method comprising:
A computer system for detecting changes in a data set underlying a time-dependent visualization by comparing annotation snapshots across time, the computer system comprising:
A computer program product for detecting changes in a data set underlying a time-dependent visualization by comparing annotation snapshots across time, the computer program product comprising a computer readable hardware storage device, and program instructions stored on the computer readable hardware storage device, to:
Dependencies are inferred from the claim text.