The cost of reachability query computation using traditional algorithms such as depth first search or transitive closure has been found to be prohibitive and unacceptable in mass...
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
While traditional research on text clustering has largely focused on grouping documents by topic, it is conceivable that a user may want to cluster documents along other dimension...
One of the most challenging tasks for the database administrator is to physically design the database to attain optimal performance for a given workload. Physical design is hard b...
Cristina Maier, Debabrata Dash, Ioannis Alagiannis...
In this paper Schapire and Singer's AdaBoost.MH boosting algorithm is applied to the Word Sense Disambiguation (WSD) problem. Initial experiments on a set of 15 selected polys...