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Process Mining Based on Specification Slicing for Dynamic Reconfiguration

机译:基于规范切片进行动态重新配置的过程挖掘

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Companies faced with rapid changes in market environment and uncertain demands of consumers are actively making investments in the information system and it is expediting the growth of the market for workflow which automates the work process. The concept of workflow mining is required for designing and supporting the business process focusing on productivity enhancement. The existing workflow mining technology was designed to extract business process redesign information from simple database fields or create a process model by collecting, identifying, and analyzing log information from the system that it could not be dynamically reconfigured by exploring the process flow suitable for new requests made on business process. This study suggests data extraction algorithm helpful to dynamic reconfiguration by analyzing semantic relationship based on specification slicing technique so that the new service requests given by the user are dynamically reflected in the initial workflow scenario without interrupting the workflow service in operations
机译:面临市场环境快速变化的公司和消费者不确定的需求正在积极投资信息系统,并加快自动化工作流程的工作流程的增长。设计和支持专注于生产力增强的业务流程所必需的工作流挖掘概念。现有的工作流挖掘技术旨在从简单数据库字段中提取业务流程重新设计信息,或通过从系统中收集,识别和分析日志信息来创建流程模型,通过探索适合新请求的过程流程无法动态重新配置在业务流程上进行。本研究表明数据提取算法通过基于规范切片技术分析语义关系来有助于动态重新配置,以便用户给出的新服务请求在初始工作流程中动态反映在不中断操作中的工作流程服务

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