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» Constraint Databases: A Survey
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WWW
2008
ACM
14 years 8 months ago
Efficiently querying rdf data in triple stores
Efficiently querying RDF [1] data is being an important factor in applying Semantic Web technologies to real-world applications. In this context, many efforts have been made to st...
Ying Yan, Chen Wang, Aoying Zhou, Weining Qian, Li...
KDD
2009
ACM
215views Data Mining» more  KDD 2009»
14 years 7 months ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye
KDD
2009
ACM
221views Data Mining» more  KDD 2009»
14 years 7 months ago
Migration motif: a spatial - temporal pattern mining approach for financial markets
A recent study by two prominent finance researchers, Fama and French, introduces a new framework for studying risk vs. return: the migration of stocks across size-value portfolio ...
Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee,...
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 7 months ago
Domain-constrained semi-supervised mining of tracking models in sensor networks
Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to deter...
Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeff...
VLDB
2003
ACM
165views Database» more  VLDB 2003»
14 years 7 months ago
Learning to match ontologies on the Semantic Web
On the Semantic Web, data will inevitably come from many different ontologies, and information processing across ontologies is not possible without knowing the semantic mappings be...
AnHai Doan, Jayant Madhavan, Robin Dhamankar, Pedr...