Adaptive network diagram constructions for representing big data event streams on monitoring dashboards

摘要: Critical systems that produce big data streams can require human operators to monitor these event for changes of interest. Automated which oversee many tasks still have a need the ‘human-in-the-loop’ operator evaluate whether an intervention is required due lack suitable training initially offered system would allow correct course actions be taken. In order capable reacting real-time events, visual depiction must in form captures essential associations and readily understood by inspection. A similar requirement found during inspections on activity protocols large organization where code conduct prescribed there traces match expectations, with minimal delay. The methodology presented here addresses concerns providing adaptive window sizing measurement subsetting data, subsequently produces set network diagrams based upon label co-occurrence networks. With intuitive method construction amount time learn how complex datasets reduced.