The following paper briefly presents the formulation and development of a case study supply chain simulation model as developed for an industrial company. The case study company i...
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
Technologies for overcoming heterogeneities between autonomous data sources are key in the emerging networked world. In this paper we discuss the initial results of a formal inves...
George H. L. Fletcher, Catharine M. Wyss, Edward L...
An important reality when integrating scientific data is the fact that data may often be "missing", partially specified, or conflicting. Therefore, in this paper, we pre...
When mining large databases, the data extraction problem and the interface between the database and data mining algorithm become important issues. Rather than giving a mining algo...