流程挖掘的目的就是从日志数据中抽取信息构建商业流程执行时的模型，从而能跟踪改进流程。
Process mining aims at extracting information from logs to build up business processes models as they are being executed, and use them to monitor and improve business processes.
在深入研究基于角色的工作流模型的基础上，通过流程挖掘方法探讨了一种新的面向角色的工作流建模方法。
On the basis of a deep study of role based workflow model, a new role-oriented workflow modeling method is proposed by adopting process mining method.
而我们运行了业务流程之后所进行的一切信息分析的工作实际上与业务分析和数据挖掘概念紧密的联系在一起。
All the post analysis of the information that we get when we run our processes are in fact closely related with Business analysis and Data Mining concepts.
数据挖掘使专家、分析师和用户可以洞察大量数据集中存在的模式，并使之成为日常业务流程中的一部分。
Data mining enables experts, analysts and users to gain insight into patterns in large data collections and to incorporate them in every day business processes.
下面的示例显示了如何创建挖掘流程，同时创建关联模型并从中提取规则。
In the following example, see how to create the mining flow, creating the association model and extracting the rules from it.
顺序分析是一个两阶段的顺序模式挖掘流程1。
The sequence analysis is a two-stage process for sequential pattern mining 1.
在后面的向导中，键入AssocFlow作为挖掘流程的名称。
In the upcoming wizard, type AssocFlow as the mining flow name.
如果您对流程、数据流或挖掘流启用内容跟踪，那么CONFIG级别和该级别以上的UIMA日志将路由到InfoSphereWarehousing日志。
If you enable content tracing for a process, a data flow, or a mining flow, UIMA logs of level CONFIG and above are routed to the InfoSphere Warehousing log.
挖掘细节：子流程和表单。
Hadoop将运行这个数据挖掘流程的map步骤。
本文介绍了数据挖掘技术的概念、功能及其运作流程，并提出了在体育远程教育中使用数据挖掘技术建立个性化服务的模型。
This paper introduces data mining concept, function and operation flow, and put forward using data mining technique to build individuation service model in physical education distance education.
在了解CRM的概念和框架、数据挖掘的各种技术后，还必须了解数据挖掘在CRM中的应用流程和应用的业务领域。
We put forward data mining procedure and its application field among CRM after describing the conception and frame of CRM and various data mining technologies.
本文提出了一种具有数据挖掘功能的电力远程监测管理系统。介绍了系统的监测原理、硬件结构和软件流程。
This paper presents an electric power remote monitoring management system with data mining function, introduces the principle, hardware structure and software flow of the system.
并且用它们和流程控制来实现数据挖掘的模型管理，使得该系统具有普遍性。
The model management of the data mining is realized by using the above tables and database, as well as some process control functions, which makes the system universal.
其次，结合客户关系管理理论和数据挖掘规范流程，提出了基于贝叶斯网络的移动大客户离网预警模型。
Secondly, combining with customer relationship management theory and data mining standard process, the leaving-network alarming model for key clients is proposed based on Bayesian network.
工作流挖掘技术是从工作流日志重构流程模型的方法，可以作为识别角色的方法，以尽量减少主观性的影响。
Workflow mining is a technique that reconstructs process model on the basis of workflow log. This method is used to identify roles, so that the role identification can be as objective as possible.
在流程型工业中，数据挖掘的应用必定会给工业带来更高的产品产量与质量，以及创造更大的效益。
In Stream Model of Industry, The application of Data Mining must bring higher product yield and quality, and create more benefit.
根据数字档案馆中的数据挖掘形式与实现方法分析，提出应用在数字档案馆中的数据挖掘系统工作流程。
Through a brief analysis and realization methods of the data mining form process for data mining system which applied in digital archives is introduced.
本文首先讨论了数据挖掘技术，给出了一种企业决策系统。并就决策系统的构成、流程和采用的数据挖掘技术进行了探讨。
This paper discusses data mining technology, presents a business decision system. Decision-making system on composition, process and use of data mining techniques are discussed.
针对流程工业数据的高维数、不确定的特点，研究适合处理流程数据的模糊集、粗糙集的粒度数据挖掘理论和方法。
According to the high dimensions and uncertainty of process industrial data, the fuzzy set and rough set of granularity data mining are studied for process data.
探讨了流程工业CIMS中实现知识管理系统的关键技术，它包括数据挖掘技术、搜索引擎技术和知识库的建立等。
It discusses the key technologies of application of knowledge management for CIMS in process industry, which includes Data Mining, Searching Engine and the construction of knowledge Database.
遵循数据挖掘流程，详细介绍了数据属性的约简，模型建立以及模型评估的方法。
According to the data mining process, the procedure of data modeling, evaluation and data attribute reducing was deeply discussed.
每一个内部管理流程都是挖掘员工更大潜力的机会。
Every built-in management process is an opportunity for unleashing more human potential.
介绍了数据挖掘技术的背景、概念、流程、数据挖掘算法，并阐述了数据挖掘技术的应用现状。
This paper introduces the background, concept and process of data mining technology and data mining algorithms, and elaborates the application actuality of data mining technology.
最后，本文设计了一个土建工程概算数据挖掘系统，通过分析系统的模块功能、用例图和数据流程，提出采用基于ASP。
Through analyse system's blocking function, use case diagram and data flow, we bring forward a B/S triple layers system which is based on ASP.
首先介绍了数据挖掘技术的概念，然后对数据挖掘系统的构成和数据挖掘的流程进行了分析，最后详细分析了数据挖掘的常用方法。
And then the Data Mining system and the process of Data Mining are analysed. At last some common methods of Data Mining are explained in detail.
本文首先介绍了东航现有的客运中转服务，通过对其种类、操作流程及现状的分析，挖掘出当前中转业务中普遍存在的问题。
At first, the article introduces the existing catalogues, procedure and status of passenger transfer services in order to find out the problems in this phase.
工作流挖掘抽取系统日志信息，挖掘流程的真实运作模型。
By extracting information from workflow traces, such as system log data, workflow mining aims to discover the actual behavior of a workflow process.
工作流挖掘抽取系统日志信息，挖掘流程的真实运作模型。
By extracting information from workflow traces, such as system log data, workflow mining aims to discover the actual behavior of a workflow process.
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