A study of the application of computational intelligence and machine learning techniques in business process mining - A brief

A. Cardenas
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引用次数: 1

Abstract

Mining process is a emerging research area that combines data mining and machine learning, on one hand, and business process modeling and analysis, on the other hand. Mining process aims at discovering, monitoring and improving business processes by extracting real knowledge from event logs produced by the information systems used by organizations. This work aims to assess the application of computational intelligence and machine learning techniques in process mining context. The main focus of the study was to identify why the computational intelligence and machine learning techniques are not being widely used in process mining field and identify the main reasons for this phenomenon.
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计算智能和机器学习技术在业务流程挖掘中的应用研究-简介
挖掘过程是一个新兴的研究领域,它结合了数据挖掘和机器学习,以及业务过程建模和分析。挖掘过程旨在通过从组织使用的信息系统产生的事件日志中提取真实的知识来发现、监视和改进业务过程。这项工作旨在评估计算智能和机器学习技术在过程挖掘环境中的应用。本研究的主要重点是确定为什么计算智能和机器学习技术没有被广泛应用于过程采矿领域,并确定这种现象的主要原因。
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