Automatic subspace clustering of high dimensional data for data mining applications
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Ontology-driven geographic information systems
Proceedings of the 7th ACM international symposium on Advances in geographic information systems
Object Fusion in Mediator Systems
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Ontology-Based Geographic Data Set Integration
STDBM '99 Proceedings of the International Workshop on Spatio-Temporal Database Management
STING: A Statistical Information Grid Approach to Spatial Data Mining
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Ontology-driven geographic information systems
Ontology-driven geographic information systems
Object fusion in geographic information systems
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
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The spatial object fusion problem occurred in geographic information system is also met in spatial data warehouses, and it plays an important role in the spatial data preprocessing. A novel, equity-based and cell-based spatial object fusion method in spatial data warehouses, which only uses locations of objects and few computes distance among objects, is proposed and its efficiency and effectiveness are measured in terms of Recall and Precision in this paper. Especially, this method is very suitable for the cases, whose targets can be abstracted into point objects, such as the study about representative plants, animals and landscapes living in special environment. Our work extends the research about this field.