• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.8
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• pp.1325-1335
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• 2002

Workflow systems, automated business processing, have been generalized. In this paper, we propose a method to mine workflow specification on workflow logs. The method detects workflow specification considering cycle, AND and OR control flow between tasks. Also, we provide dynamic mining method to detect workflow specification in which log is generated.

• Proceedings of the CALSEC Conference
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• 2005.03a
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• pp.195-200
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• 2005

As the workflow systems are becoming complex and obscure, there are discrepancies between actual workflow process and designed process. 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. This paper presents an algorithm of workflow process mining based on heuristic approach from the workflow log, which can be happen to business process system.

• Journal of Internet Computing and Services
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• v.19 no.6
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• pp.83-89
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• 2018

In workflow process intelligence and systems, workflow process mining and analysis issues are becoming increasingly important. In order to improve the quality of workflow process intelligence, it is essential for an efficient and effective data center storing workflow enactment event logs to be provisioned in carrying out the workflow process mining and analytics. In this paper, we propose a three-dimensional process-aware datacube for organizing workflow enterprise data centers to efficiently as well as effectively store the workflow process enactment event logs in the XES format. As a validation step, we carry out an experimental process mining to show how much perfectly the process-aware datacubes are suitable for discovering workflow process patterns and its analytical knowledge, like enacted proportions and enacted work transferences, from the workflow process enactment event histories. Finally, we confirmed that it is feasible to discover the fundamental control-flow patterns of workflow processes through the implemented workflow process mining system based on the process-aware data cube.

• Journal of Internet Computing and Services
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• v.20 no.6
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• pp.21-28
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• 2019

Process mining is state-of-the-art technology in the workflow field. Recently, process mining becomes more important because of the fact that it shows the status of the actual behavior of the workflow model. However, as the process mining get focused and developed, the material of the process mining - workflow event log - also grows fast. Thus, the process mining algorithms cannot operate with some data because it is too large. To solve this problem, there should be a lightweight process mining algorithm, or the event log must be divided and processed partly. In this paper, we suggest a set of operations that control and edit XES based event logs for process mining. They are designed based on relational algebra, which is used in database management systems. We designed three operations for tailoring XES event logs. Select operation is an operation that gets specific attributes and excludes others. Thus, the output file has the same structure and contents of the original file, but each element has only the attributes user selected. Union operation makes two input XES files into one XES file. Two input files must be from the same process. As a result, the contents of the two files are integrated into one file. The final operation is a slice. It divides anXES file into several files by the number of traces. We will show the design methods and details below.

• Journal of Internet Computing and Services
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• v.4 no.6
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• pp.43-55
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• 2003

Workflow mining is a newly emerging research issue for rediscovering and reengineering workflow models from workflow logs containing information about workflows being executed on the workflow engine. In this paper, we proposed workcase mining which was used dependency among activities. Main purpose of this paper is to minimize discrepancies between the modeled workflow process and the enacted workflow process as it is actually being executed. That is, we can get a complete set of activity firing sequences on buildtime. Besides, we can discover from workflow logs that which path out of all reachable paths a workcase has actually followed through on runtime. For this purpose we proposed two algorithm, the one is 'Activily-Dependent Net Algorithm' and the other is 'E-Walk Series Analysis Algorithm'.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.4108-4122
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• 2019

Workflow process mining is becoming a more and more valuable activity in workflow-supported enterprises, and through which it is possible to achieve the high levels of qualitative business goals in terms of improving the effectiveness and efficiency of the workflow-supported information systems, increasing their operational performances, reducing their completion times with minimizing redundancy times, and saving their managerial costs. One of the critical challenges in the workflow process mining activity is to devise a reasonable approach to discover and recognize the bottleneck points of workflow process models from their enactment event histories. We have intuitively realized the fact that the iterative process pattern of redo-activities ought to have the high possibility of becoming a bottleneck point of a workflow process model. Hence, we, in this paper, propose an algorithmic approach and its implementation to discover the redo-activities and their performers' involvements patterns from workflow process enactment event logs. Additionally, we carry out a series of experimental analyses by applying the implemented algorithm to four datasets of workflow process enactment event logs released from the BPI Challenges. Finally, those discovered redo-activities and their performers' involvements patterns are visualized in a graphical form of information control nets as well as a tabular form of the involvement percentages, respectively.

• Journal of Internet Computing and Services
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• v.9 no.4
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• pp.133-142
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• 2008

This paper conceives and implements an activity analysis method as a tool to be used for workflow visual verification and mining. One of the recent issues in the workflow and business process literature is to refine and to improve the deployed workflows and business processes. The activity analysis method proposed in this paper provides a way to fine a set of activities being directly affected by the specific activity that a user tries to change its properties. I would strongly believe that the method can be a useful solution for the dynamic changes and visual verifications problems of workflow models as well as the workflow process mining problems. Finally, to prove the possibility of the proposed method and its applicability, we apply to a workflow model of the electronic approval system run by a real corporation.

• Journal of the Korea Computer Industry Society
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• v.6 no.3
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• pp.437-446
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• 2005

Workflow mining is a newly emerging research issue for rediscovering and reengineering workflow models from workflow logs containing information about workflow being executed on the workflow engine. This paper newly defines a workflow process reduction mechanism that formally and automatically reduces an original workflow process to a minimal set of activities, which was used proposed 'E-walk series analysis algorithm'. Main purpose of this paper is to minimize discrepancies between the workflow process modeled and the enacted workflow process as it is actually being executed. That means, we compare a complete set of activity firing sequences on buildtime with workflow execution logs which was generate on runtime. For this purpose we proposed two algorithm, the one is 'Activity-Dependent Net Algorithm' and the other is 'E-Walk Series Analysis Algorithm'.

• Journal of Mechanical Science and Technology
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• v.20 no.10
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• pp.1527-1533
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• 2006

Workflow systems have benefited the enterprise and customer in many aspects. But with the increasing complexity of the system, workflow design becomes a complicated and time-consuming process. In this paper, we model the system based on the Hierarchical Colored Petri Nets (HCPN) to avoid the complexity of the system, and the super nets of the model are abstracted as independent components to increase the flexibility, acceptability and maintainability of the system. Another important characteristic of this model is its convenience for reuse and workflow mining. The development process of the overhead traveling crane was given to demonstrate the proposed method.

• Journal of Internet Computing and Services
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• v.6 no.6
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• pp.57-69
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• 2005

This paper proposes a minimal workflow model as a feasible solution to the workflow process rediscovery problem. The minimal workflow model can be represented by the minimal workflow net. The process model is represented by ICN(Information Control Net) Modeling method, ICN can configure activity dependent net applying proper algorithm according to activity dependency among activities which configure the ICN, The proposed model is possible to develop with the application of minimal workflow net and with the application of the algorithm related to activity dependent net properties, Hence, it can solve the process rediscovery problem and can also be helpful on process improvement.