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Advances in concept lattice and its application

HU Keyun, LU Yuchang, SHI Chunyi (Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China)  
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.
【Fund】: 国家自然科学基金项目! (79990 5 80 );; 国家“九七三”基础研究基金项目! (G19980 30 414) ;; 国家“九五”攀登预研基金项目
【CateGory Index】: O153.1
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