Showing 1 - 7 of 7
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...
Persistent link: https://www.econbiz.de/10009429693
In this paper a classification framework for incomplete data, based on electrostatic field model is proposed. An original approach to exploiting incomplete training data with missing features, involving extensive use of electrostatic charge analogy, has been used. The framework supports a hybrid...
Persistent link: https://www.econbiz.de/10009429779
The i* framework has been available in research communities for more than ten years, but it has not been applied widely in industrial requirements projects. This is despite undoubted strengths, which include a simple but formal and stable semantics, a graphical modeling notation that is simple...
Persistent link: https://www.econbiz.de/10009429835
Estimation of the generalization ability of a predictive model is an important issue, as it indicates expected performance on previously unseen data and is also used for model selection. Currently used generalization error estimation procedures like cross–validation (CV) or bootstrap are...
Persistent link: https://www.econbiz.de/10009429864
The fundamentals of a good decision-making are, first, clear understanding of the decision itself and, second, the availability of properly focused information to support the decision. Decision-making techniques help with both these problems. However, the techniques should be thought of as aids...
Persistent link: https://www.econbiz.de/10009429888
Over the last 5 years a quiet revolution in business systems development has taken place towards the use of enterprise-wide, off-the-shelf software solutions. At the end of 1997, BusinessWeek estimated the value of this global enterprise applications package (EAP) market at $10billion and still...
Persistent link: https://www.econbiz.de/10009429889
In this paper a classification framework for incomplete data, based on electrostatic field model is proposed. An original approach to exploiting incomplete training data with missing features, involving extensive use of electrostatic charge analogy, has been used. The framework supports a hybrid...
Persistent link: https://www.econbiz.de/10009429890