4 papers
Explainable Outlier Detection for Interval-valued Data
Catarina P. Loureiro, M. Rosário Oliveira, Paula Brito +1
Explainability is increasingly recognized as a key aspect of outlier detection. However, for complex data structures such as interval-valued data, it remains largely unexplored. Bu…
Minimum Covariance Determinant Estimator and Outlier Detection for Interval-valued Data
Catarina P. Loureiro, M. Rosário Oliveira, M. Rosário Oliveira +2
Interval-valued data are one of the most common symbolic data types, which enables the preservation of the underlying variability of the data. The interval mean and covariance matr…
Interval Fisher's Discriminant Analysis and Visualisation
Diogo Pinheiro, M. Rosário Oliveira, Igor Kravchenko +1
In Data Science, entities are typically represented by single valued measurements. Symbolic Data Analysis extends this framework to more complex structures, such as intervals and h…
Location and association measures for interval-valued data based on Mallows' distance
M. Rosário Oliveira, Diogo Pinheiro, Lina Oliveira
The growing demand to analyse large and complex datasets has spurred the development of Symbolic Data Analysis as a promising approach to address contemporary data challenges. Amon…