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» Combining Two Data Mining Methods for System Identification
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BMCBI
2005
155views more  BMCBI 2005»
13 years 7 months ago
Mining protein function from text using term-based support vector machines
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
CIKM
2009
Springer
14 years 2 months ago
MKEM: a multi-level knowledge emergence model for mining undiscovered public knowledge
Background: Since Swanson proposed the Undiscovered Public Knowledge (UPK) model, there have been many approaches to uncover UPK by mining the biomedical literature. These earlier...
Ali Zeeshan Ijaz, Min Song, Doheon Lee
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
14 years 7 days ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
FOIKS
2004
Springer
13 years 11 months ago
Simplification of Integrity Constraints for Data Integration
When two or more databases are combined into a global one, integrity may be violated even when each database is consistent with its own local integrity constraints. Efficient metho...
Henning Christiansen, Davide Martinenghi
BMCBI
2004
98views more  BMCBI 2004»
13 years 7 months ago
Incidence of "quasi-ditags" in catalogs generated by Serial Analysis of Gene Expression (SAGE)
Background: Serial Analysis of Gene Expression (SAGE) is a functional genomic technique that quantitatively analyzes the cellular transcriptome. The analysis of SAGE libraries rel...
Sergey V. Anisimov, Alexei A. Sharov