Process Mining Applied to the BPI Challenge 2012: Divide and Conquer While Discerning Resources
Process Mining Applied to the BPI Challenge 2012: Divide and Conquer While Discerning Resources
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流程挖掘应用于 2012 年 BPI 挑战赛：识别资源时分而治之
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Wil M.P. van der Aalst
中科院分区：
文献类型：
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作者：
R. Bose;Wil M.P. van der Aalst
一个来自荷兰金融机构的真实事件日志，使用最先进的流程挖掘技术进行分析。日志包含与客户的贷款/透支申请相关的事件。我们建议将日志分层分解为基于最终决定、报价和欺诈嫌疑等特征的同质案例子集。这些子集用于发现有趣的见解。使用各种过程挖掘技术对整个事件日志和同构子集进行分析。更具体地说，我们从以下方面分析事件日志：(a)资源透视图和资源对活动执行/周转时间的影响，(b)控制流透视图，以及(c)流程诊断。为此开发的专用ProM插件允许对资源透视图进行全面分析。对于控制流和过程诊断的分析，我们使用最近的，但已经存在的ProM插件。正如评估所示，我们的技术组合能够发现许多有趣的发现，并可用于改进底层贷款/透支申请处理流程。
A real-life event log, taken from a Dutch financial institute, is analyzed using state-of-the-art process mining techniques. The log contains events related to loan/overdraft applications of customers. We propose a hierarchical decomposition of the log into homogenous subsets of cases based on characteristics such as the final decision, offer, and suspicion of fraud. These subsets are used to uncover interesting insights. The event log in its entirety and the homogeneous subsets are analyzed using various process mining techniques. More specifically, we analyze the event log (a) on the resource perspective and the influence of resources on execution/turnaround times of activities, (b) on the control-flow perspective, and (c) for process diagnostics. A dedicated ProM plug-in developed for this challenge allows for a comprehensive analysis of the resource perspective. For the analysis of control-flow and process diagnostics, we use recent, but pre-existing, ProM plug-ins. As the evaluation shows, our mix of techniques is able to uncover many interesting findings and could be used to improve the underlying loan/overdraft application handling process.