A new classification mining model based on the data warehouse
Sulan Zhang, Jifu Zhang · 2004
In this paper, we develop a new classification mining model by merging rough set theory and concept lattice theory according to the data features in the data warehouse. Rough set is a very useful tool which can analysis uncertain and vague data and can be used to classify data with the specific upper and lower approximate set. Concept lattice, an efficient formal analysis tool, can classify the data through the relation of concept intension and concept extension. When faced the integrated, diversity, or capacity data in the data warehouse, merging the two theory will improve the efficiency and reliability of the classification knowledge, which can effectively guide the decision-making management.