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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...
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
14 years 26 days ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau
CIVR
2010
Springer
199views Image Analysis» more  CIVR 2010»
14 years 5 days ago
Unsupervised multi-feature tag relevance learning for social image retrieval
Interpreting the relevance of a user-contributed tag with respect to the visual content of an image is an emerging problem in social image retrieval. In the literature this proble...
Xirong Li, Cees G. M. Snoek, Marcel Worring
BMCBI
2008
117views more  BMCBI 2008»
13 years 7 months ago
Using a logical model to predict the growth of yeast
Background: A logical model of the known metabolic processes in S. cerevisiae was constructed from iFF708, an existing Flux Balance Analysis (FBA) model, and augmented with inform...
Ken E. Whelan, Ross D. King
SIGIR
2006
ACM
14 years 1 months ago
Hybrid index maintenance for growing text collections
We present a new family of hybrid index maintenance strategies to be used in on-line index construction for monotonically growing text collections. These new strategies improve up...
Stefan Büttcher, Charles L. A. Clarke, Brad L...