Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction data i...
In the last decades, a large family of algorithms supervised or unsupervised; stemming from statistic or geometry theory have been proposed to provide different solutions to the p...
The extraction of the relations of nested table headers to content cells is automated with a view to constructing narrow domain ontologies of semistructured web data. A taxonomy of...
Ramana C. Jandhyala, Mukkai S. Krishnamoorthy, Geo...
There are many applications that demand large quantities of natural looking motion. It is difficult to synthesize motion that looks natural, particularly when it is people who mus...
Abstract—In this paper, we present MobTorrent, an ondemand, user-driven framework designed for vehicles which have intermittent high speed access to roadside WiFi access points (...