Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...
The importance of individual characteristics has been emphasized in the human computer interaction and information visualization (IV) literature. However, decision style, which is...
Wan Adilah Wan Adnan, Nor Laila Md. Noor, Rasimah ...
This paper describes a hybrid methodology to study users in ongoing relationships based on three levels of user data analysis. Most user-centered design methods are ideal for the a...
Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...
The increasing availability of continuous-media data is provoking a significant change in Internet workloads. For example, video from news, sports, and entertainment sites, and au...
Maureen Chesire, Alec Wolman, Geoffrey M. Voelker,...