Open AccessFlowSpy: exploring Activity-Execution Patterns from Business Processes
Author(s) -
Cristian Tristão,
Duncan D. Ruiz,
Karin Becker
Publication year - 2008
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/sbsi.2008.5923
Subject(s) - computer science , abstraction , business process discovery , business process , visualization , process mining , process (computing) , business process management , business process modeling , data mining , tree (set theory) , exploratory analysis , data visualization , data science , work in process , programming language , mathematical analysis , philosophy , mathematics , epistemology , marketing , business
The paper describes FlowSpy, an environment that employs a sequence mining technique to discover and analyze actual process execution paths from business processes, for both process comparison and process discovery. FlowSpy focuses on exploratory analysis of the different execution flows, enabling a detailed analysis of business behavior, quantification of different execution flows, and abstraction mechanisms (log pre-processing and visualization abstraction) that deal with process complexity and different process views. Log pre-processing aims at improving the data mining phase, with a more restricted aggregate tree. Visualization abstraction facilitates pattern interpretation by producing trees that represent the obtained patterns.