Title :
Making sense of clusters through qualitative spatial reasoning
Author :
Qu, Yang ; Kyungmi Lee ; Lee, Ickjai
Author_Institution :
Sch. of Bus. (IT), James Cook Univ., Cairns, QLD, Australia
fDate :
Nov. 30 2010-Dec. 2 2010
Abstract :
Clustering has been widely used in many data mining applications. It reports aggregations and concentrations in large databases. There has been a lot of research in clustering, but relatively less attention has been paid to what contributed to those clusters. This paper overviews reasoning techniques for clusters, and reviews qualitative cluster reasoning framework.
Keywords :
data mining; pattern clustering; spatial reasoning; clustering; data mining; qualitative cluster reasoning framework; qualitative spatial reasoning; Calculus; Clustering algorithms; Cognition; Computational modeling; Geospatial analysis; Shape; Topology;
Conference_Titel :
Advanced Information Management and Service (IMS), 2010 6th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-8599-4
Electronic_ISBN :
978-89-88678-32-9