Enabling efficient business process mining using flatten sequential structure model

The volume of extensible markup language (XML) format documents is increasing every day due to the development internet and use XML in business process log file. Storing data preferable ability storing irrespective how it will be represented. However, mining poses challenges its complex structure dimensions. This paper proposes a method convert document into structured without ignoring structural information. Converting semi-structured allow more techniques statistical test conducted extract information from data. experiment this study performs t-test on set synthetic real-world prove that can extracted through normal test. Empirical results show analysis especially after flatten sequential model (FSSM) used.