73 citations · 139 across the 6 of their papers we have counts for
7 papers
A Typology of Data Anomalies
Ralph Foorthuis
Anomalies are cases that are in some way unusual and do not appear to fit the general patterns present in the dataset. Several conceptualizations exist to distinguish between diffe…
Algorithmic Frameworks for the Detection of High Density Anomalies
Ralph Foorthuis
This study explores the concept of high-density anomalies. As opposed to the traditional concept of anomalies as isolated occurrences, high-density anomalies are deviant cases posi…
The Impact of Discretization Method on the Detection of Six Types of Anomalies in Datasets
Ralph Foorthuis
Anomaly detection is the process of identifying cases, or groups of cases, that are in some way unusual and do not fit the general patterns present in the dataset. Numerous algorit…
On Course, But Not There Yet: Enterprise Architecture Conformance and Benefits in Systems Development
Ralph Foorthuis, Marlies van Steenbergen, Nino Mushkudiani +3
Various claims have been made regarding the benefits that Enterprise Architecture (EA) delivers for both individual systems development projects and the organization as a whole. Th…
A Theory Building Study of Enterprise Architecture Practices and Benefits
Ralph Foorthuis, Marlies van Steenbergen, Sjaak Brinkkemper +1
Academics and practitioners have made various claims regarding the benefits that Enterprise Architecture (EA) delivers for both individual projects and the organization as a whole.…
SECODA: Segmentation- and Combination-Based Detection of Anomalies
Ralph Foorthuis
This study introduces SECODA, a novel general-purpose unsupervised non-parametric anomaly detection algorithm for datasets containing continuous and categorical attributes. The met…