摘要
在企业业务运行过程中会产生大量的数据,这些数据以事件日志的方式进行保存.通过对事件日志的采集、处理和分析可以支持对业务过程的挖掘、监控和优化.然而,原始的事件日志因含有各种类型的数据质量问题而无法直接应用于过程挖掘与分析.尽管目前在数据挖掘领域已提出各种数据预处理方法进行数据过滤,但由于业务过程事件日志中事件信息的序列化、动态化以及传递性等特点不同于普通数据,所以无法简单地应用传统的数据预处理方法对事件日志进行预处理.本文对事件日志数据预处理的研究现状进行了系统化的总结,分析了事件日志数据预处理技术面临的挑战,并对未来的研究方向进行了展望.
A large amount of data will be generated during the operation of enterprise business, and these data will be saved in the form of event log.The collection, processing and analysis of event logs can support the mining, monitoring and optimization of business processes.However, the original event log cannot be directly applied to process mining and analysis because it contains various types of data quality problems.Although various data preprocessing methods for data filtering have been proposed in the field of data mining, they cannot be applied simply because the serialization, dynamism and transitivity of event information in the event log of business process are different from ordinary data.This paper summarizes the research status of event log data preprocessing, and analyzes the problems that need to be solved in the event log data preprocessing and the future research direction.
作者
赵海燕
李欣歌
陈庆奎
曹健
ZHAO Hai-yan;LI Xin-ge;CHEN Qing-kui;CAO Jian(Shanghai Key Lab of Modern Optical System,and Engineering Research Center of Optical Instrument and System,Ministry of Education,University of Shanghai for Science and Technology,Shanghai 200093,China;Department of Computer Science and Technology,Shanghai Jiao Tong University,Shanghai 200030,China)
出处
《小型微型计算机系统》
CSCD
北大核心
2022年第1期1-9,共9页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(62072301)资助.
关键词
业务过程
事件日志
过程挖掘
数据预处理
business process
event log
process mining
data preprocessing
