Experimenting with an OLAP Approach for Interactive Discovery in Process Mining

Autor:	Gustavo Pizarro, Marcos Sepúlveda
Rok vydání:	2015
Předmět:	Business process discovery Process modeling Process (engineering) Computer science Event (computing) Business process Online analytical processing Information system Process mining Data science
Zdroj:	Business Process Management Workshops ISBN: 9783319158945 Business Process Management Workshops
Popis:	Business process analysts must face the task of analyzing, monitoring and promoting improvements to different business processes. Process mining has emerged as a useful tool for analyzing event logs that are registered by information systems. It allows the discovering of process models considering different perspectives (control-flow, organizational, time). However, currently they lack the ability to explore jointly and interactively the different perspectives, which hinder the understanding of what is happening in the organization. This article proposes a novel approach for interactive discovery aimed at providing process analysts with a tool that allow them to explore multiple perspectives at different levels of detail, which is inspired on OLAP interactive concepts. This approach was implemented as a ProM plug-in and tested in an experiment with real users. Its main advantages are the productivity and operability when performing process discovery.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::174f2ae62b312809d5e5d0d72b850c6c https://doi.org/10.1007/978-3-319-15895-2_27 Zobrazit plný text záznamu