In a context of Data Integration Systems (DIS) providing access to large amounts of data extracted and integrated from autonomous data sources, users are highly concerned about data quality. Traditionally, data quality is ...

Performance creative evaluation can be achieved through affective data, and the use of affective featuresto evaluate performance creative is a new research trend. This paper proposes a “Performance Creative—Multimodal ...

In real-world situations, researchers frequently face the difficulty of missing values (MV), i.e., values not observed in a data set. Data imputation techniques allow the estimation of MV using different algorithms, by ...

Data stream mining is an emergent research area that investigates knowledge extraction from large amounts of continuously generated data, produced by non-stationary distribution. Novelty detection, the ability to identify ...

We identify some of the challenges related with conducting research into teamwork, addressing in particular the data gathering problem, where researchers face multiple tensions derived from different viewpoints regarding ...

This paper presents a review of the main motivations and paths for publishing datasets that are generated and managed during the research process. The Data Paper is considered as a form of scientific publication with the ...

This paper documents the development of performance standards for the Trinidad and Tobago primary school national assessments of educational achievement. Performance standards are written expectations of student achievement ...