Co-location pattern mining algorithm with rare spatial features
Ziren Wang · Journal of Zhejiang University of Technology · 2007
Mining technology of spatial co-location pattern is an important direction in spatial data mining.The existing studies on co-location pattern mining emphasize on the characteristic of equal participation for each spatial feature.Some valuable patterns will be omitted in these rare spatial features.Firstly,a new measure called maxPR is proposed.Each certain co-location rule is interrelated with a co-location pattern with a high maxPR.Secondly,the weak maxPR monotonous is discussed.This property can be used to develop efficient algorithm to mine co-location pattern with high maxPR from spatial data sets with rare spatial features.