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Diagnosing sudden and gradual drifts in business process
, , , M. Iyapparaja, , M. Prasanna
Published in Institute of Advanced Scientific Research, Inc.
2018
Volume: 10
   
Issue: 5 Special Issue
Pages: 1583 - 1589
Abstract
A Business process is a group of connected activities where their find the destination in delivery of Service or Product to the Clients. “Business Process also describes that the task and activities once completed and implemented as an Organizational goal and also it describes the work flow of an Organization. It is legitimately related undertakings that utilization the assets of an association to accomplish the characterized business results. It can be dissected from the quantity of points of view, similar to control stream, information, and the asset viewpoints. These days, clients anticipate that associations will be adaptable and adjust the progressions. Extreme supply and demand, natural disasters and so on. That makes to change their procedures in an organization. This method proposes a robotized and measurably grounded technique for identifying sudden also, progressive business process floats under a bound together structure. An experimental assessment demonstrates that the technique identifies commonplace change designs with essentially higher precision and lower location delay than existing strategies, while precisely recognizing sudden and progressive floats. The changes can classify in two types. They are Sudden Drift and Gradual Drift. I detect the changes in business process by analyzing event logs extracted from the systems that support the execution of the process. Event logs consist of sequence of labels; each contains number of traces and it representing the execution of one activity. These traces help to detect and characterize the business process changes (drift).”. © 2018, Institute of Advanced Scientific Research, Inc. All rights reserved.
About the journal
JournalJournal of Advanced Research in Dynamical and Control Systems
PublisherInstitute of Advanced Scientific Research, Inc.
ISSN1943023X
Authors (4)