Process and deviation exploration through Alpha-algorithm and Heuristic miner techniques

2014 Twelfth International Conference on ICT and Knowledge Engineering Pub Date : 2014-11-01 DOI:10.1109/ICTKE.2014.7001540

P. Porouhan, N. Jongsawat, W. Premchaiswadi

引用次数: 21

Abstract

In this paper, we applied two methods of process mining techniques (from Discovery class/approach) in order to extract knowledge from event logs recorded by an online information system. The event log was created via information received from an online proceedings review system in Thailand. Accordingly, Alpha and Heuristic algorithms were used with the objective of automatically visualizing the models in terms of Petri nets and animated simulations. The paper eventually aimed at improving the handling of online reviews by providing techniques and tools for discovering process, control, data, organizational, and social structures from the created event log.

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通过alpha算法和启发式挖掘技术进行过程和偏差探索

为了从在线信息系统记录的事件日志中提取知识，本文采用了两种过程挖掘技术(来自Discovery类/方法)。事件日志是通过从泰国的在线诉讼审查系统收到的信息创建的。因此，使用Alpha和启发式算法，目的是根据Petri网和动画模拟自动可视化模型。本文的最终目标是通过提供从创建的事件日志中发现过程、控制、数据、组织和社会结构的技术和工具来改进在线评论的处理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2014 Twelfth International Conference on ICT and Knowledge Engineering

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