• 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'.

• Journal of Internet Computing and Services
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• v.9 no.6
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• pp.89-97
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• 2008

Recently, many organizations such as companies or institutions have demanded induction of very large-scale workflow management system in order to process a large number of business-instances. Workflow-related vendors have focused on physical extension of workflow engines based on device-level clustering, so as to provide very large-scale workflow services. Performance improvement of workflow engine by simple physical-connection among computer systems which don't consider logical-level software architecture lead to wastes of time and cost for construction of very large-scale workflow service environment. In this paper, we propose methodology for performance improvement based on logical software architectures of workflow engine. We also evaluate scalable performance between workflow engines using the activity instance based architecture and workcase based architecture, our proposed architecture. Through analysis of this test's result, we can observe that software architectures to be applied on a workflow engine have an effect on scalable performance.

• Journal of Internet Computing and Services
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• v.10 no.6
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• pp.205-217
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• 2009

Recently, many organizations such as companies or institutions have demanded induction of very large-scale workflow management system in order to process a large number of business-instances. Workflow vendors have focused on physical extension of workflow engines based on device-level clustering, so as to provide very large-scale workflow services. Performance improvement of workflow engine by simple physical-connection among computer systems which don't consider logical-level software architecture leads to wastes of time or cost for construction of very large-scale workflow service environment. In this paper, we propose workcase-based workflow architecture and implement a very large-scale workflow management system based on the architecture. We prove that software architectures to be applied on a workflow engine have an effect on scalability and performance through workcase response-time evaluation of our proposed system.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.67-69
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• 2004

기업 및 조직 내외에서 이루어지고 있는 대량 작업들을 처리하기 위하여 기존의 워크플로우 시스템보다 더욱 대형화된 처리를 지원하는 워크플로우 시스템의 등장이 요구되어지고 있다. 기업 인프라는 급격히 발전하고 있지만 그에 반해 워크플로우 시스템은 처리적인 측면에서 이를 뒷받침하지 못하고 있다. 현재의 시스템 환경의 한계를 극복하며 대량의 비즈니스 작업들을 처리해내기 위해서는 이에 대한 극복 방안이 마련되어야 한다. 본 논문에서는 극복 .방안의 일환으로 다수 사용자들의 요청에 의해 발생되는 프로세스 인스턴스인 워크케이스에 대한 효과적인 생성 기법에 대해 제시하고 이러한 방법을 기반으로 하여 실제적인 구현 및 테스트를 통해 결과를 도출해 내고자 한다.

• 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 Internet Computing and Services
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• v.20 no.5
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• pp.49-55
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• 2019

Organizations design and operate business process models to achieve their goals efficiently and systematically. With the advancement of IT technology, the number of items that computer systems can participate in and the process becomes huge and complicated. This phenomenon created a more complex and subdivide flow of business process.The process instances that contain workcase and events are larger and have more data. This is an essential resource for process mining and is used directly in model discovery, analysis, and improvement of processes. This event log is getting bigger and broader, which leads to problems such as capacity management and I / O load in management of existing row level program or management through a relational database. In this paper, as the event log becomes big data, we have found the problem of management limit based on the existing original file or relational database. Design and apply schemes to archive and analyze large event logs through Hadoop, an open source distributed file system, and HBase, a NoSQL database system.

• Journal of Internet Computing and Services
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• v.20 no.3
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• pp.77-84
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• 2019

Workflow management system is a system that manages the workflow model which defines the process of work in reality. We can define the workflow process by sequencing jobs which is performed by the performers. Using the workflow management system, we can also analyze the flow of the process and revise it more efficiently. Many researches are focused on how to make the workflow process model more efficiently and manage it more easily. Recently, many researches use the workflow log files which are the execution history of the workflow process model performed by the workflow management system. Ourresearch group has many interests in making useful knowledge from the workflow event logs. In this paper we use XES log files because there are many data using this format. This papersuggests what are the cardinalities of the temporal workcases and how to get them from the workflow event logs. Cardinalities of the temporal workcases are the occurrence pattern of critical elements in the workflow process. We discover instance cardinalities, activity cardinalities and organizational resource cardinalities from several XES-based workflow event logs and visualize them. The instance cardinality defines the occurrence of the workflow process instances, the activity cardinality defines the occurrence of the activities and the organizational cardinality defines the occurrence of the organizational resources. From them, we expect to get many useful knowledge such as a patterns of the control flow of the process, frequently executed events, frequently working performer and etc. In further, we even expect to predict the original process model by only using the workflow event logs.

• 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.

• Proceedings of the Korea Database Society Conference
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• 2002.10a
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• pp.403-416
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• 2002

워크플로우 관리 시스템은 정부나 기업과 같은 조직의 작업을 처리하기 위한 비즈니스 프로세스를 컴퓨터를 기반으로 자동화함으로서 작업의 효율을 높이고 비용을 절감한다. 현재에 이르러 이런 워크플로우 시스템을 사용하는 조직들이 점차 거대화되어 가고 네트워크의 발달과 인터넷의 출현으로 인하여 워크플로우 시스템이 처리하여야 하는 작업의 수와 고객과 작업자 수 등이 빠른 속도로 증가하는 추세이다. 이런 추세에서 워크플로우 시스템은 거대 조직 환경에 적합한 워크플로우 시스템 아키텍쳐를 필요하게 된다. 이에 본 논문은 거대 조직 환경을 관리할 수 있는 워크플로우 관리 시스템으로 워크케이스 기반의 초대형 워크플로우 시스템의 아키텍쳐를 설계 및 구현 하고자 한다. 그리고 워크플로우 시스템 아키텍쳐를 분류, 분석하여 장단점을 가려내어 이를 기반으로 워크플로우 시스템 아키텍쳐의 성능을 예측하여 워크케이스 기반 워크플로우 시스템 아키텍쳐가 본 논문에서 제안하는 초대형 워크플로우 시스템의 아키텍쳐라는 것을 예측하여 본다. 또한 초대형 워크플로우 시스템을 위하하부 구조로 EJB(Enterprise Java Beans)를 사용하고 사용 이유를 기술한다. 본 논문에서는 이런 워크케이스 기반의 초대형 워크플로우 시스템 아키텍쳐를 위하여 개념적인 단계와 설계 단계, 구현 단계로 나누어 설계 및 구현을 하며 개념적인 단계에서는 워크케이스 기반 워크플로우 시스템 아키텍쳐에 대하여 상세히 기술하고 설계단계에서는 전체적인 기능 정의와 초대형 워크플로우 시스템의 구조를 설계한다. 그리고 구현 단계에서는 워크케이스 기반의 초대형 워크플로우 시스템 아키텍쳐를 실제 구현하기 위한 환경을 선택하고 구현 단계의 문제점들과 해결책을 기술한다. 다 솔레노이드방식 감압건조장치로 건조한 표고버섯으로 품위에 대한 유의성 검증결과, 표고버섯의 경우 온도별로는 색택과 복원률, 건조실 내부 압력별로는 수축률, 복원률에서 유의차가 있는 것으로 나타났다. 라. 본 연구에서 구명된 감압건조특성을 기초로 하여 배치식 감압건조기를 설계 제작에 활용하고자 한다.ational banks. Several financial interchange standards which are involved in B2B business of e-procurement, e-placement, e-payment are also investigated.. monocytogenes, E. coli 및 S. enteritidis에 대한 키토산의 최소저해농도는 각각 0.1461 mg/mL, 0.2419 mg/mL, 0.0980 mg/mL 및 0.0490 mg/mL로 측정되었다. 또한 2%(v/v) 초산 자체의 최소저해농도를 측정한 결과, B. cereus, L. mosocytogenes, E. eoli에 대해서는 control과 비교시 유의적인 항균효과는 나타나지 않았다. 반면에 S. enteritidis의 경우는 배양시간 4시간까지는 항균활성을 나타내었지만, 8시간 이후부터는 S. enteritidis의 성장이 control 보다 높아져 배양시간 20시간에서는 control 보다 약 2배 이상 균주의 성장을 촉진시켰다.차에 따른 개별화 학습을 가능하게 할 뿐만 아니라 능동적인 참여를 유도하여 학습효율을 높일 수 있을 것으로 기대된다.향은 패션마케팅의 정의와 적용범위를 축소시킬 수 있는 위험을 내재한 것으로 보여진다. 그런가 하면, 많이 다루어진 주제라 할지라도 개념이나 용어가 통일되지 않고

• Journal of Internet Computing and Services
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• v.20 no.1
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• pp.87-96
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• 2019

In this paper, we propose a MapReduce-supported clustering technique for collecting and classifying distributed workflow enactment event logs as a preprocessing tool. Especially, we would call the distributed workflow enactment event logs as Workflow BIG-Logs, because they are satisfied with as well as well-fitted to the 5V properties of BIG-Data like Volume, Velocity, Variety, Veracity and Value. The clustering technique we develop in this paper is intentionally devised for the preprocessing phase of a specific workflow process mining and analysis algorithm based upon the workflow BIG-Logs. In other words, It uses the Map-Reduce framework as a Workflow BIG-Logs processing platform, it supports the IEEE XES standard data format, and it is eventually dedicated for the preprocessing phase of the ${\rho}$-Algorithm that is a typical workflow process mining algorithm based on the structured information control nets. More precisely, The Workflow BIG-Logs can be classified into two types: of activity-based clustering patterns and performer-based clustering patterns, and we try to implement an activity-based clustering pattern algorithm based upon the Map-Reduce framework. Finally, we try to verify the proposed clustering technique by carrying out an experimental study on the workflow enactment event log dataset released by the BPI Challenges.