Process mining for project management

J. Joe, Yasha Ballal, Tanya Emmatty, S. Kulkarni
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引用次数: 7

Abstract

Business process mining or process mining is the intersection between data mining and business process modelling that extracts business patterns from event logs. Event logs are freely available in any organization. Business logs are a potential source of useful information. By the various patterns that are present in the logs, a lot can be estimated about the type of procedures that should be incorporated into the organization for better performance. Event logs store information about time and event data of business processes. Process mining algorithms are used to mine business process models using event logs. Generating automated business models out of this could provide valuable insight to a firm eventually leading to customer satisfaction. Process Mining works by three phases: discovery, conformation and alteration. By using process mining, many kinds of information can be collected about the process, such as control-flow, performance, organizational information and decision patterns. A process model could be represented as Petri nets which is a formal graphical representation of the workflow diagram or it can be represented as Business Process Modelling Notation. This project aims to develop a user friendly platform which is capable of generating petri net like models by process mining. By using various process mining algorithms we will develop software which would mine the event logs of a particular firm. It would provide a data or workflow analysis scheme. This would optimize business process intelligence and thus provide alternative and superior work strategies. In this project, we are mainly targeting project management using process mining. There are many projects that are undertaken by an IT company that all follow the same procedure. The concept of business process mining can be used in order to improve the performance of a company by optimizing its Software Development Life Cycle. By feeding the previous logs of a similar project of the company, the software would give a flowgraph. This flowgraph can help to identify the sequence of the activities, roles in the organization as well as various efficiency parameters. The algorithm being used is the Heuristic Miner Algorithm for process mining.
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项目管理的过程挖掘
业务流程挖掘是数据挖掘和从事件日志中提取业务模式的业务流程建模之间的交集。事件日志在任何组织中都是免费的。业务日志是有用信息的潜在来源。通过日志中出现的各种模式,可以对应该纳入组织以获得更好性能的过程类型进行大量估计。事件日志存储有关业务流程的时间和事件数据的信息。流程挖掘算法用于使用事件日志挖掘业务流程模型。由此生成自动化的业务模型可以为公司提供有价值的见解,最终导致客户满意。采矿工作分为发现、构造和蚀变三个阶段。通过过程挖掘,可以收集有关过程的多种信息,如控制流、性能、组织信息和决策模式。流程模型可以表示为Petri网,这是工作流图的正式图形表示,也可以表示为业务流程建模符号。本项目旨在开发一个用户友好的平台,该平台能够通过过程挖掘生成类似petri网的模型。通过使用各种流程挖掘算法,我们将开发能够挖掘特定公司事件日志的软件。它将提供一个数据或工作流分析方案。这将优化业务流程智能,从而提供可选择的、更好的工作策略。在这个项目中,我们主要针对使用过程挖掘的项目管理。IT公司承担的许多项目都遵循相同的过程。业务流程挖掘的概念可以用于通过优化软件开发生命周期来提高公司的绩效。通过输入该公司以前类似项目的日志,该软件将给出一个流程图。该流程图可以帮助确定活动的顺序、组织中的角色以及各种效率参数。所使用的算法是用于过程挖掘的启发式挖掘算法。
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