Advances in concept lattice and its application

Concept Lattice is a powerful tool for data analysis, which reveals the generalization/specification relationships between concepts in a vivid and concise way by a Hasse diagram. A concept lattice is built from data sets through the process of concept clustering. The concept lattice can be used in many other machine learning tasks, such as classification or association rule mining. This paper first introduced basic notions of concept lattice, then discussed several lattice construction methods and corresponding rule extraction algorithms and applications. Several concept lattice based systems were outlined briefly. This paper also describes topics such as lattice pruning and the relationship between concept lattice and rough sets.