Currently the challenges in e-Learning are converging the learning content from various sources and managing them within e-learning practices. Data mining learning algorithms can be used and the contents can be converged based on the Metadata of the objects. Ensemble methods use multiple learning algorithms and it can be used to converge the…

Reliable and consistent time series are essential to any kind of economic forecasting. Skills forecasting needs to combine data from national accounts and labour force surveys, with the pan-European dimension of Cedefop's skills supply and demand forecasts, relying on different international classification standards. Sectoral classification (NACE)…

Semantic integrity constraints are business-specific rules that limit the permissible values in a database. For example, a university rule dictating that an "incomplete" grade cannot be changed to an A constrains the possible states of the database. To maintain database integrity, business rules should be identified in the course of database…

This interview with Bertrum MacDonald discusses the decisions that determined the character of a national bibliography on science and technology in Canadian history. Topics discussed include the scope of the project; classification and indexing decisions; the database management system used; unexpected problems; and predicted usage of the…

At the University of North Carolina at Chapel Hill, a seminar on planning and policy analysis is offered for doctoral students who wish to conduct planning and forecasting studies for their doctoral dissertations or who simply wish to learn such techniques. One of the major projects of the seminar is the development of an environmental scanning…