Abstract—Process mining is a research area dealing with inter alia, the construction of models of various types from event logs. Fuzzy maps are an example of such models produced by different process mining tools, such as ProM and Disco. We proposed a new approach to mining fuzzy models which is based on logs representation in the form of relation databases. Fast and effective SQL queries to such logs are made as a part of a DPMine workflow model. Resulting datasets are processed and visualized by a special DPMine component working tightly integrated with VTMine modeling framework. The paper discusses the suggested approach in the context of customization aspects of VTMine framework with an embedded DPM engine.

Index Terms—Extensible tool, process mining, workflow modeling language.

The author is with the International Laboratory of Process-Aware Information System (PAIS Lab), National Research University Higher School of Economics, 20 Myasnitskaya str., Moscow 101000, Russia.

Cite:Sergey Andreevich Shershakov, "VTMine Framework as Applied to Process Mining Modeling," International Journal of Computer and Communication Engineering vol. 4, no. 3, pp. 166-179, 2015.