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...

This paper provides a discussion of the effects of different multi-level learning approaches on the resulting out of sample forecast errors in the case of difficult real-world forecasting problems with large noise terms in the training data, frequently occurring structural breaks and quickly...

The Model Driven Architecture (MDA) is offered as one way forward in software systems modelling to connect software design with the business domain. The general focus of the MDA is the development of software systems by performing transformations between software design models, and the automatic...

Purpose – The purpose of this paper is to provide and develop a comprehensive and holistic understanding of the working relationship between the in-house IT department and other parts of the business. Design/methodology/approach – In this paper, IT professionals and internal customers at...

By providing a route from model to architecture, Model Driven Architecture (MDA) promises, among other things, to narrow the gap between business users and software developers. That is, the approach is intended to involve stakeholders in modelling, so that, by transformation from Computationally...

Time series forecasting has a long track record in many application areas. In forecasting research, it has been illustrated that finding an individual algorithm that works best for all possible scenarios is hopeless. Therefore, instead of striving to design a single superior algorithm, current...

Rapidly evolving businesses generate massive amounts of time-stamped data sequences and cause a demand for both univariate and multivariate time series forecasting. For such data, traditional predictive models based on autoregression are often not sufficient to capture complex non-linear...

A system has been developed that analyses the emotional content of web pages. Text is extracted from an embedded Internet browser and sent to a text-to-emotion engine that identifies the emotive content. An experiment was conducted that examines the effect the emotional content of the web page...

This article reports on the latest developments of our Emotional Stock Analyser application. The original application automatically analyses the text that is input by the user, using a text-to-emotion engine that identifies the emotive content. The whole text of newspaper articles about the...

Software is quite often expensive to develop and can become a major cost factor in corporate information systems budgets. With the variability of software characteristics and the continual emergence of new technologies the accurate prediction of software development costs is a critical problem...