4/25/2023 0 Comments Desklog download![]() To fill this gap, this paper proposes a business concept drift detection and localization framework called BRDDL (Behavior Replacement-based Drift Detection and Localization) which can not only detect independent drifts such as sudden drifts and gradual drifts, but also detect nested drifts. The current drift detection methods can only detect the drift modes that occur independently, but not suitable for nested drift detection. We identify the change mode that sudden drifts and gradual drifts do not appear independently as nested drifts. Although the existing methods have studied the detection of two basic modes, they do not consider the nesting of two change modes. Sudden and gradual drifts are considered to be two basic modes of change, that may always appear in independent or nested forms. However, concept drift may occur during process mining due to the instability of the process. With the application of numerous services or software, process mining has attracted more and more attention. In order to discuss the limitations of modeling, process analysts mainly use Petri Net, BPMN, UML, and EPCs to represent the model. An event log consists of a business process that changes over time, and each process contains several properties, Use the adaptive window to observe and perform statistical testing Use sliding windows and stream-based abstract representation Use sliding window and statistical analysis of outlier detection Predefine the window size and step size, find the decalre constraint and determine the change point Convert traces to run, use chi-square test to get P-value, rergard gradual drift as two sudden drift Transform the event log into relationship matrix, use frequency level Find the new and disappeared behavior when the log segment meets the local integrity Compare pairs of consecution clusterings to enable drifts localization including the activities that are performed in the business process, the timestamp when the activities occur, the resources that are required for the activities to occur or generated by the occurred activities and so on.
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