论文标题
使用ESEVIS框架对事件序列分析和可视化的方法进行调查
A Survey of Approaches for Event Sequence Analysis and Visualization using the ESeVis Framework
论文作者
论文摘要
事件序列数据越来越多。许多业务运营都由记录交易，事件，状态变更，消息交换等信息系统支持。该观察结果对于包括生产，物流，医疗保健，金融服务，教育等各种行业同样有效。应用领域的多种多样解释说，事件序列数据分析的技术是在计算机科学不同领域独立开发的。最突出的是信息可视化和过程挖掘的贡献。到目前为止，这两个领域的贡献尚未被比较，也没有将其映射到集成框架。在本文中，我们开发了事件序列可视化框架（ESEVIS），该框架适当地归功于这两个领域的传统。我们的映射研究提供了对两个领域的综合观点，并确定了未来研究的协同作用的潜力。
Event sequence data is increasingly available. Many business operations are supported by information systems that record transactions, events, state changes, message exchanges, and so forth. This observation is equally valid for various industries, including production, logistics, healthcare, financial services, education, to name but a few. The variety of application areas explains that techniques for event sequence data analysis have been developed rather independently in different fields of computer science. Most prominent are contributions from information visualization and from process mining. So far, the contributions from these two fields have neither been compared nor have they been mapped to an integrated framework. In this paper, we develop the Event Sequence Visualization framework (ESeVis) that gives due credit to the traditions of both fields. Our mapping study provides an integrated perspective on both fields and identifies potential for synergies for future research.
