Title :
An Algorithm of Spatial Association Rule Mining Based on Concept Lattice
Author_Institution :
Guangling Coll., Yangzhou Univ., Yangzhou, China
Abstract :
An algorithm about spatial association rule mining which is based on concept lattice is presented. Firstly, a concept lattice (a concept hierarchy) diagram is given, Moreover, databases and selected, transform spatial data into attribute data by generalizing spatial are introduced. Then the method of build spatial concept lattice by using: generalize spatial relationships into attribute relationships is given. Finally, an improvement algorithm of spatial association rule mining based concept lattice is offered and the experiment results show the algorithm is effective.
Keywords :
data mining; visual databases; concept hierarchy; concept lattice; spatial association rule mining; Association rules; Autocorrelation; Data mining; Educational institutions; Feature extraction; Information analysis; Lattices; Spatial databases; Spatiotemporal phenomena; Transaction databases;
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
DOI :
10.1109/ICMSS.2009.5302901
