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从运行日志挖掘业务流程模型的流程挖掘方法研究方兴未艾,然而,复杂多变的运行环境使流程日志也不可避免地呈现出多样性.传统的流程挖掘算法各有其适用对象,因此,如何挑选适合多样性流程日志的流程挖掘算法成为了一项挑战.提出一种适用于多样性环境的业务流程挖掘方法 So Fi(survival of fittest integrator).该方法基于领域知识对日志进行分类,使用多种现有的挖掘算法对每一类子日志产生一组流程模型作为遗传算法的初始种群,借助遗传算法的优化能力,从中整合得到高质量的业务流程模型.针对模拟日志和某通信公司真实日志的实验结果表明:相对于任何单一的挖掘算法,So Fi产生的流程模型具有更高的综合质量,即重现度、精确度、通用性和简单性.  相似文献   
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ContextOrganizations are rapidly adopting Business Process Management (BPM) as they focus on their business processes (BPs), seeing them to be key elements in controlling and improving the way they perform their business. Business Process Intelligence (BPI) takes as its focus the collection and analysis of information from the execution of BPs for the support of decision making, based on the discovery of improvement opportunities. Realizing BPs by services introduces an intermediate service layer that enables us to separate the specification of BPs in terms of models from the technologies implementing them, thus improving their modifiability by decoupling the model from its implementation.ObjectiveTo provide an approach for the continuous improvement of BPs, based on their realization with services and execution measurement. It comprises an improvement process to integrate the improvements into the BPs and services, an execution measurement model defining and categorizing several measures for BPs and service execution, and tool support for both.MethodWe carried out a systematic literature review, to collect existing proposals related to our research work. Then, in close collaboration with business experts from the Hospital General de Ciudad Real (HGCR), Spain, and following design science principles, we developed the methods and artifacts described in this paper, which were validated by means of a case study.ResultsWe defined an improvement process extending the BP lifecycle with measurement and improvement activities, integrating an execution measurement model comprising a set of execution measures. Moreover, we developed a plug-in for the ProM framework to visualize the measurement results as a proof-of-concept prototype. The case study with the HGCR has shown its feasibility.ConclusionsOur improvement vision, based on BPs realized by services and on measurement of their execution, in conjunction with a systematic approach to integrate the detected improvements, provides useful guidance to organizations.  相似文献   
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使用事件日志进行符合性检查的主要方法是:使用过程模型模拟执行事件日志中的任务序列,通过统计可被模型再现的任务序列及模型运行中可能触发的非运行序列中的任务个数,判断模型与日志的符合程度.但这种判断方法并不完备:如果模型中包含大量选择结构,则即使日志是模型本身的日志,也会因为模拟执行较多任务时会触发当前序列外的其他任务,而误判日志与模型的符合性较低;或者,如果模型中只包含少数的并发结构和多数的顺序结构,则即使日志只包含顺序结构的内容且非该模型对应日志时,也会因为在模拟执行时只有个别任务会导致模型无法继续执行,而其他多数任务可以执行而误判日志与模型有较高的符合性.基于已有方法的弱点,提出了使用日志内容检查模型结构正确性与使用模型结构检查日志内容完整性的双向检查标准,并提出一种内容特征与模型结构特征一一对应的新型日志——Token Log,用于过程模型与系统日志的符合性检查,使得检查和判断过程更加清晰简洁,结果更加准确.  相似文献   
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