A Survey on Close-degree of Concept Lattice and Attribute Reduction in Data Mining Services

摘要

With recent technical advances in processing power, stora ge capacity, and inter-connectivity of computer technology, data mining is seen as an increasingly important tool by modern business to transform unprecedented quantities of digital data into business intelligence giving an informational advantage. The manual extraction of patterns from data has occurred for centuries. Concept lattice is a new mathematical tool for data analysis and knowledge processing. Attribute reduction is very important in the theory of concept lattice because it can make the discovery of implicit knowledge in data easier and the representation simpler. In this paper we discuss and analyze some close-degree of concept lattice and attribute reduction technique for applying data mining services which is fruitful for many applications and business processing