Formal Concept Analysis for Data Mining: Theoretical and Practical Approaches

摘要

Knowledge Discovery in Databases (KDD) is the most widely known process with the purpose of knowledge extraction. Formal Concept Analysis (FCA) is proposed here as an alternative step in KDD process, due to its capacity of generating diagrams that facilitate data representation and analysis. FCA can perform the task of Data Mining (DM), supporting users in knowledge management. Both theoretical and practical aspects are presented here.