In many knowledge discovery applications the data mining step is followed by further data acquisition. New data may consist of new instances and/or new features for the old instances. When new features are to be added an acquisition policy can help decide what features have to be acquired based on their predictive capability and the cost of acquisition. This can be posed as a feature selection ...

The context of teacher is indescribable without considering the multiple overlapping contextual situations. Teacher Context Ontology (TCO) presents a unified representation data these contexts. This ontology provides relatively high number features to consider for each context. These result in computational overhead during processing context-aware recommender systems. Therefore, most relevant m...

Software product line (SPL) engineering is a software engineering approach to building configurable software systems. SPLs commonly use a feature model to capture and document the commonalities and variabilities of the underlying software system. A key challenge when using a feature model to derive a new SPL configuration is determining how to find an optimized feature selection that minimizes ...