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IEEE Final Year Project Topic for CSE

Base Paper Title

A Method for Mining Process Models With Indirect Dependencies via Petri Nets

Our Title

IEEE Project Abstract

Process mining aims to build the models of business processes and get valuable information according to event logs generated from enterprise information systems. There exist some indirect dependences,which refer to the relationship between discontinuous activities in business processes. However,the existing approaches cannot accurately identify such dependences from the event logs. Thus, this paper extends the algorithm and proposes a new one named the TR algorithm, which uses the association rules to describe the indirect dependences. First, an algorithm is proposed to identify the choice and loop structures in the business process. Then, the association rules are mined to describe the indirect dependences. Finally,we design an extended Petri net to formalize the process model, which can accurately describe the indirect dependences. The effectiveness of the proposed approach is illustrated by the experiments on ProM.

Existing System

Drawback of Existing System

Proposed System

Advantage of Proposed System

Enhancement from Base Paper

Architecture

Technology Used : Hardware & Software

Existing Algorithm

Proposed Algorithm

Advantages of Proposed Algorithm

Project Modules

Literature Survey

Conclusion

Future Work

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