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» Join Indices as a Tool for Spatial Data Mining
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BNCOD
2003
127views Database» more  BNCOD 2003»
13 years 7 months ago
Performance Evaluation and Analysis of K-Way Join Variants for Association Rule Mining
Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...
P. Mishra, Sharma Chakravarthy
ICDE
1997
IEEE
130views Database» more  ICDE 1997»
14 years 7 months ago
High-Dimensional Similarity Joins
Many emerging data mining applications require a similarity join between points in a high-dimensional domain. We present a new algorithm that utilizes a new index structure, calle...
Kyuseok Shim, Ramakrishnan Srikant, Rakesh Agrawal
VLDB
1997
ACM
134views Database» more  VLDB 1997»
13 years 10 months ago
Spatial Joins Using R-trees: Breadth-First Traversal with Global Optimizations
R-tree based spatial join is useful because of both its superior performance and the wide spread implementation of R-trees. We present a new R-tree join method called BFRJ (Breadt...
Yun-Wu Huang, Ning Jing, Elke A. Rundensteiner
KDD
2004
ACM
157views Data Mining» more  KDD 2004»
13 years 11 months ago
Fast mining of spatial collocations
Spatial collocation patterns associate the co-existence of nonspatial features in a spatial neighborhood. An example of such a pattern can associate contaminated water reservoirs ...
Xin Zhang, Nikos Mamoulis, David W. Cheung, Yutao ...
DMDW
2003
269views Management» more  DMDW 2003»
13 years 7 months ago
CASME: A CASE Tool for Spatial Data Marts Design and Generation
Geographic Information Systems (GIS) showed their insufficiencies in front of complex requests for decision-makers. Resulting of the association of the databases and the decision-m...
Hajer Baazaoui Zghal, Sami Faïz, Henda Hajjam...