DESIGN AND IMPLEMENTATION OF WORKFLOW MINING: DISCOVERING PROCESS MODELS FROM EVENT LOGS

  • Type: Project
  • Department: Computer Science
  • Project ID: CPU2486
  • Access Fee: ₦5,000 ($14)
  • Pages: 40 Pages
  • Format: Microsoft Word
  • Views: 359
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ABSTRACT
Contemporary workflow management systems are driven by explicit process models, i.e., a completely specified workflow design is required in order to enact a given workflow process. Creating a workflow design is a complicated time-consuming process and, typically, there are discrepancies between the actual workflow processes and the processes as perceived by the management. Therefore, we have developed techniques for discovering workflow models. The starting point for such techniques is a so-called "workflow log" containing information about the workflow process as it is actually being executed. We present a new algorithm to extract a process model from such a log and represent it in terms of a Petri net. However, we also demonstrate that it is not possible to discover arbitrary workflow processes. We explore a class of workflow processes that can be discovered. We show that the α-algorithm can successfully mine any workflow represented by a so-called SWF-net.

TABLE OF CONTENT
TITLE PAGE
CERTIFICATION
APPROVAL
DEDICATION
ACKNOWLEDGEMENT
ABSTRACT
TABLE OF CONTENT

CHAPTER ONE
1.0INTRODUCTION
1.1STATEMENT OF PROBLEM
1.2PURPOSE OF STUDY
1.3AIMS AND OBJECTIVES
1.4SCOPE/DELIMITATIONS
1.5LIMITATIONS/CONSTRAINTS
1.6DEFINITION OF TERMS

CHAPTER TWO
2.0LITERATURE REVIEW

CHAPTER THREE
3.0METHODS FOR FACT FINDING AND DETAILED DISCUSSIONS OF THE SYSTEM
3.1 METHODOLOGIES FOR FACT-FINDING 
3.2DISCUSSIONS

CHAPTER FOUR
4.0FUTURES, IMPLICATIONS AND CHALLENGES OF THE SYSTEM 
4.1FUTURES 
4.2IMPLICATIONS
4.3CHALLENGES

CHAPTER FIVE
5.0RECOMMENDATIONS, SUMMARY AND CONCLUSION
5.1RECOMMENDATION
5.2SUMMARY
5.3CONCLUSION
5.4REFERENCES
DESIGN AND IMPLEMENTATION OF WORKFLOW MINING: DISCOVERING PROCESS MODELS FROM EVENT LOGS
For more Info, call us on
+234 8130 686 500
or
+234 8093 423 853

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  • Type: Project
  • Department: Computer Science
  • Project ID: CPU2486
  • Access Fee: ₦5,000 ($14)
  • Pages: 40 Pages
  • Format: Microsoft Word
  • Views: 359
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    Details

    Type Project
    Department Computer Science
    Project ID CPU2486
    Fee ₦5,000 ($14)
    No of Pages 40 Pages
    Format Microsoft Word

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