A Fuzzy Mining Process for Discovering Sequential Patterns

With the increase of data, data mining has been introduced to solve the overloading problem and to discover valid, novel, potentially useful patterns in existing data. In order to discover quantitative data, we may encounter a sharp boundary problem which the traditional data mining techniques cannot overcome. In view of this weakness, a lot of researches have been applied fuzzy sets to discover a variety of quantitative patterns, especially in sequential pattern mining [18][25]. Therefore, we devote to proposing a work process, Fuzzy Mining Process for Discovering Sequential Patterns (FMPDSP), to hold more general viewpoint combining Data Mining and Fuzzy Sets fields for discovering sequential patterns. The purpose of the process is to establish a cooperative relationship for the both fields to understand and analyze the investigating steps of fuzzy sequential pattern mining. Three researches were proposed to demonstrate that the FMPDSP can be workable and generalization to lea