This paper examines software designs produced by students nearing completion of their Computer Science degrees. The results of this multi-national, multi-institutional experiment present some interesting implications for ...

This paper describes a project being undertaken at the University of Wales, Aberystwyth that captures students’ designs in an attempt to improve the pedagogy. To enhance their understanding of object oriented programming, ...

Probabilistic abduction extends conventional symbolic abductive reasoning with Bayesian inference methods. This allows for the uncertainty underlying implications to be expressed with probabilities as well as assumptions, ...

Aggregation operators are crucial to integrating diverse decision makers' opinion. While minimum and maximum can represent optimistic and pessimistic extremes, an Ordered Weighted Aggregation (OWA)operator is able to reflect ...

This paper examines the problem of studying and comparing student software designs. We propose semantic categorization as a way to organize widely varying data items. We describe how this was used to organize a particular ...

As forensic science and forensic statistics become increasingly sophisticated, and judges and juries demand more timely delivery of more convincing scientific evidence, crime investigation is becoming progressively more ...

Computational Intelligence and Feature Selection provides a high level audience with both the background and fundamental ideas behind feature selection with an emphasis on those techniques based on rough and fuzzy sets, ...

This paper presents an extension of the assumption-based truth maintenance system (ATMS), called “credibilistic ATMS,” which has the capability to cope with uncertain justifications and assumptions. Such justifications and ...

Data reduction is an important step in knowledge discovery from data. The high dimensionality of databases can be reduced using suitable techniques, depending on the requirements of the data mining processes. These techniques ...

Harmony search is a recently developed meta heuristic capable of solving discrete and continuous valued optimisation problems. However, the nature of pre-defined constant parameters limits the exploitation of the algorithm. ...