This paper presents a new framework for users to select relevant data from an XML document and store it in an existing relational database, as opposed to previous approaches that s...
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
We propose a software requirements analysis method based on domain ontology technique, where we can establish a mapping between a software requirements specification and the doma...
Abstract. This position paper introduces the motivation and preliminary implementation issues of a distributed simulation middleware designed to increase the performance and speed-...
eresting web-available abstracts and papers on clustering: An Analysis of Recent Work on Clustering Algorithms (1999), Daniel Fasulo : This paper describes four recent papers on cl...