一个多媒体数据集用于以对象为中心的业务流程挖掘在IT资产管理中的多媒体数据集
Diana Chvirova1, Andreas Egger1, Tobias Fehrer1
1Branch Business & Information Systems Engineering of the Fraunhofer FIT, Alter Postweg 101, D-86159 Augsburg, Germany.
Data in brief
|August 8, 2024
概括
一个新的多媒体业务流程数据集使用视频和传感器数据捕获IT资产管理 (ITAM) 流程. 该资源有助于开发和评估非结构化数据的过程挖掘技术.
科学领域:
- 计算机科学 计算机科学
- 信息系统信息系统信息系统
- 业务流程管理 业务流程管理
背景情况:
- 信息技术资产管理 (ITAM) 流程对于IT运营至关重要.
- 现有的数据集往往缺乏现实世界,非结构化数据的丰富性.
- 过程采矿技术需要全面的数据来进行有效的开发和评估.
研究的目的:
- 引入一个新的多媒体业务流程数据集.
- 为推进非结构化数据的过程挖掘提供资源.
- 促进ITAM过程分析方面的研究.
主要方法:
- 在受控的实验室环境中系统地收集数据.
- 多模式数据的集成:视频,运动跟踪,环境传感器,ITAM系统跟踪和用户交互日志.
- 数据以以对象为中心的事件日志格式 (OCEL) 组织,并对活动和实体进行手动注释.
主要成果:
- 一个全面的数据集,包括6个基本ITAM流程中的121个流程实例.
- 现有原始和加工数据,包括从双重视角的37个视频录像.
- 详细的事件数据,使各种多媒体来源的可追溯性.
结论:
- 该数据集作为过程采矿研究的有价值的基准.
- 能够开发用于分析业务流程中的非结构化数据的技术.
- 支持在现实的ITAM场景中评估过程挖掘算法.
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