Analyzing mobile application logs using process mining techniques: An application to online bookstores

초록

A vast amount of user logs is recorded while users utilize various mobile applications. As lots of companies pay no attention to log data, logs usually cannot provide useful meaning or insights. In order to improve user experiences and acquire valuable insights, we propose a framework for analyzing mobile application logs using process mining techniques. Previous studies based on surveys or third party applications have limitations such as data collection problems or reliability issues. The proposed framework enables a company to understand the behavior of diverse users and to identify problems by setting up various performance questions. We applied the proposed method to a virtual online bookstore and derived analysis questions in order to helpful insights. The analysis results based on process discovery, pattern discovery and performance analysis of application logs can help improve user interface deployment of the mobile application. © 2018, ICIC International. All rights reserved.

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