Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
Abstract. A variant of iterative learning in the limit (cf. [LZ96]) is studied when a learner gets negative examples refuting conjectures containing data in excess of the target la...
The number of publications in biomedicine is increasing enormously each year. To help researchers digest the information in these documents, text mining tools are being developed ...
Gondy Leroy, Marcelo Fiszman, Thomas C. Rindflesch
Abstract Spatio-temporal extensions to data models have been an active area of research for a number of years. To date, much of this work has focused on the relational data model, ...
Tony Griffiths, Alvaro A. A. Fernandes, Norman W. ...
Today’s object-relational DBMSs (ORDBMSs) are designed to support novel application domains by providing an extensible architecture, supplemented by domain-specific database ex...