Strategy Mining for Inferring Business Information System User Intentions

Abstract

The aim of this study was to identify user strategies to infer their intentions in developing activities, from the current process model and the real process model of the business. A user’s intentions can be used to identify their behavior, and to define the requirements for improving the business information system. The presented method follows the guidelines of the current mining tools, and it is supported by a knowledge base of businesses in general and the event log for a specific business. The user strategies are validated and weighted through the rules of the specific business. The user intentions are inferred based on their strategies and the knowledge of an expert within the specific business. The method is applied to a specific sales business, and the obtained results suggest that the proposed method can extract 75% of user intentions. In addition, the method is generalized to apply it to any business, as long as we can obtain the event log and the rules of the business.