Business Process Mining by Means of Statistical Languages Model

The goal of this research is to provide an alternative for business processes evaluation and tracking, based on the analysis of non-structured information generated by such processes within the organization areas. In this article we introduce a method to determine the occurrence probability of a business process within the enterprisepsilas text documents. The proposed method introduces the use of Statistical language model (SLM), as a new technique in business processes mining area. In order to obtain this objective the following is considered: the probability that a sub process or a process part is in the text paragraph; the probability that this text belongs to a business process; the language model of the processes set; and the set of realized activities which is reconstructed according to the processes that gave origin to the analyzed documents.