Since the 1660’s the scientific method has included reproducibility as a mainstay in its effort to root error from scientific discovery. With the explosive growth of digitization in scientific research and communication, it is easier than ever to satisfy this requirement. In computational...

In scientometric research, the use of co-occurrence data is very common. In many cases, a similarity measure is employed to normalize the data. However, there is no consensus among researchers on which similarity measure is most appropriate for normalization purposes. In this paper, we...

In this paper we provide a theoretical analysis of effects of applying different forecast diversification methods on the structure of the forecast error covariance matrices and decomposed forecast error components based on the bias- variance- Bayes error decomposition of James and Hastie. We...

The combination of forecasts is a well established procedure for improving forecast performance and decreasing the risk of selecting an inferior model out of an existing pool of models. Work in this area mainly focuses on combining several functionally different models, but some publications...

Different ways of detecting structural changes in email-based social networks are presented in the paper. A social network chosen for experiments was created on the basis of the Wroclaw University of Technology email server logs covering the period of 20 months. Structural parameters like degree...

Organizations in the new millennium face relentless pressure to perform better, faster and cheaper, while maintaining high level of guaranteed results. To remain competitive, enterprises have to integrate their business processes with those of their customers, suppliers and business partners....