: Query transformation is a serious hurdle on semantic peer-to-peer environment. For interoperability between peers, queries sent from a source peer have to be efficiently transfor...
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
: The need for processing biological information is rapidly growing, owing to the masses of new information in digital form being produced at this time. Old methodologies for proce...
Learning an unknown halfspace (also called a perceptron) from labeled examples is one of the classic problems in machine learning. In the noise-free case, when a halfspace consist...
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...