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» Mining spatial association rules in image databases
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AI
2004
Springer
15 years 5 months ago
Distributed Data Mining vs. Sampling Techniques: A Comparison
To address the of mining a huge volume of geographically distributed databases, we propose two approaches. The first one is to download only a sample of each database. The second ...
Mohamed Aounallah, Sébastien Quirion, Guy W...
KDD
2009
ACM
211views Data Mining» more  KDD 2009»
16 years 10 days ago
Address standardization with latent semantic association
Address standardization is a very challenging task in data cleansing. To provide better customer relationship management and business intelligence for customer-oriented cooperates...
Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang,...
GEOINFO
2004
15 years 1 months ago
Spatio-Temporal Database Constraints for Spatial Dynamic Simulation
: Spatial Dynamic Simulation Systems have three main components: the space dimension, the time dimension and the dynamic process. Dynamic processes have been modeled by transition ...
Bianca Maria Pedrosa, Luiz Camolesi Jr., Gilberto ...
KDD
2004
ACM
216views Data Mining» more  KDD 2004»
16 years 6 days ago
GPCA: an efficient dimension reduction scheme for image compression and retrieval
Recent years have witnessed a dramatic increase in the quantity of image data collected, due to advances in fields such as medical imaging, reconnaissance, surveillance, astronomy...
Jieping Ye, Ravi Janardan, Qi Li
DAGSTUHL
2003
15 years 1 months ago
Logical Languages for Data Mining
Data mining focuses on the development of methods and algorithms for such tasks as classification, clustering, rule induction, and discovery of associations. In the database fiel...
Fosca Giannotti, Giuseppe Manco, Jef Wijsen