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» Using Genetic Algorithms for Solving Hard Problems in GIS
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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 7 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
ICDT
2010
ACM
163views Database» more  ICDT 2010»
13 years 6 months ago
Composing Local-As-View Mappings
Schema mapping composition is a fundamental operation in schema management and data exchange. The mapping composition problem has been extensively studied for a number of mapping ...
Patricia Arocena, Ariel Fuxman, Renee Miller
SIGIR
2005
ACM
14 years 29 days ago
Impedance coupling in content-targeted advertising
The current boom of the Web is associated with the revenues originated from on-line advertising. While search-based advertising is dominant, the association of ads with a Web page...
Berthier A. Ribeiro-Neto, Marco Cristo, Paulo Braz...
ICDT
2010
ACM
180views Database» more  ICDT 2010»
13 years 11 months ago
Composing local-as-view mappings: closure and applications
Schema mapping composition is a fundamental operation in schema management and data exchange. The mapping composition problem has been extensively studied for a number of mapping ...
Patricia C. Arocena, Ariel Fuxman, Renée J....
KDD
2012
ACM
194views Data Mining» more  KDD 2012»
11 years 9 months ago
A sparsity-inducing formulation for evolutionary co-clustering
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
Shuiwang Ji, Wenlu Zhang, Jun Liu