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首页> 外文期刊>IEEE transactions on visualization and computer graphics >Understanding User Behaviour through Action Sequences: From the Usual to the Unusual
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Understanding User Behaviour through Action Sequences: From the Usual to the Unusual

机译：通过操作序列了解用户行为：从常见到不寻常

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摘要

Action sequences, where atomic user actions are represented in a labelled, timestamped form, are becoming a fundamental data asset in the inspection and monitoring of user behaviour in digital systems. Although the analysis of such sequences is highly critical to the investigation of activities in cyber security applications, existing solutions fail to provide a comprehensive understanding due to the complex semantic and temporal characteristics of these data. This paper presents a visual analytics approach that aims to facilitate a user-involved, multi-faceted decision making process during the identification and the investigation of "unusual" action sequences. We first report the results of the task analysis and domain characterisation process. Then we describe the components of our multi-level analysis approach that comprises of constraint-based sequential pattern mining and semantic distance based clustering, and multi-scalar visualisations of users and their sequences. Finally, we demonstrate the applicability of our approach through a case study that involves tasks requiring effective decision-making by a group of domain experts. Although our solution here is tightly informed by a user-centred, domain-focused design process, we present findings and techniques that are transferable to other applications where the analysis of such sequences is of interest.
机译：动作序列以原子，用户带时间戳的形式表示的原子用户动作，正在成为检查和监视数字系统中用户行为的基本数据资产。尽管对此类序列的分析对于调查网络安全应用程序中的活动至关重要，但是由于这些数据的复杂语义和时间特性，现有解决方案无法提供全面的了解。本文提出了一种视觉分析方法，旨在促进在“异常”动作序列的识别和调查过程中涉及用户的多方面决策过程。我们首先报告任务分析和域表征过程的结果。然后，我们描述了我们的多层次分析方法的组成部分，包括基于约束的顺序模式挖掘和基于语义距离的聚类，以及用户及其序列的多尺度可视化。最后，我们通过一个案例研究证明了我们方法的适用性，该案例涉及需要一组领域专家进行有效决策的任务。尽管我们的解决方案是通过以用户为中心，以领域为中心的设计过程来紧密告知的，但我们提出的发现和技术可以转移到其他需要分析此类序列的应用程序中。

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