The mining of classification rules based on multiple extended concept lattices
Xuegang Hu, Hui Chen, Feng Ma · 2005
Mining classification rules is an important research area in data mining. Distributed data mining is one of the important research fields. So inducing classification rules from multiple data sources and amalgamating rules become the hotspot. The extended concept lattice is the extending of Galois concept lattice, which is effective for mining classification rules. In this paper, mining classification rules based on multiple extended concept lattices is described, the method of amalgamating rules is discussed and proved by theory and experiment.