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» Spatial Data Mining: A Database Approach
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107
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DASFAA
1999
IEEE
79views Database» more  DASFAA 1999»
15 years 5 months ago
Early Separation of Filter and Refinement Steps in Spatial Query Optimization
The spatial query has been processed in two steps, the filter step and the refinement step, due to a large volume and high complexity of the spatial data. However, this approach h...
Ho-Hyun Park, Chan-Gun Lee, Yong-Ju Lee, Chin-Wan ...
BALT
2006
15 years 4 months ago
Introducing Softness into Inductive Queries on String Databases
In many application domains (e.g., WWW mining, molecular biology), large string datasets are available and yet under-exploited. The inductive database framework assumes that both s...
Ieva Mitasiunaite, Jean-François Boulicaut
119
Voted
CIKM
2009
Springer
15 years 7 months ago
A case study on model driven data integration for data centric software development
Model Driven Data Integration is a data integration approach that proactively incorporates and utilizes metadata across the data integration process. By decoupling data and metada...
Hyeonsook Kim, Ying Zhang, Samia Oussena, Tony Cla...
94
Voted
ICDM
2005
IEEE
129views Data Mining» more  ICDM 2005»
15 years 6 months ago
Mining Chains of Relations
Traditional data mining applications consider the problem of mining a single relation between two attributes. For example, in a scientific bibliography database, authors are rela...
Foto N. Afrati, Gautam Das, Aristides Gionis, Heik...
PKDD
2007
Springer
95views Data Mining» more  PKDD 2007»
15 years 6 months ago
Pruning Relations for Substructure Discovery of Multi-relational Databases
Multirelational data mining methods discover patterns across multiple interlinked tables (relations) in a relational database. In many large organizations, such a multi-relational ...
Hongyu Guo, Herna L. Viktor, Eric Paquet