activity
20202026
most citedOn the Nature and Types of Anomalies: A Review of Deviations in Data

108 citations · 248 across the 9 of their papers we have counts for

collaborators

9 papers

stat.OT2026

Data Quality Assessments: A Theoretically Structured Overview of Approaches and Methods

Ralph Foorthuis

The quality of data is crucial for both practice and academia, and this holds for descriptive statistics, AI and advanced analytics alike. This study addresses an apparent gap in t…

cs.LG2021★ 6 cited

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…

cs.LG2020★ 1 cited

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…

cs.DB2020★ 3 cited

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…

cs.CY2020★ 45 cited

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…

cs.CY2020★ 73 cited

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.…

cs.DB2020★ 9 cited

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…

cs.CY2020★ 3 cited

Tactics for Internal Compliance: A Literature Review

Ralph Foorthuis

Compliance of organizations with internal and external norms is a highly relevant topic for both practitioners and academics nowadays. However, the substantive, elementary complian…

cs.DB2020★ 108 cited

On the Nature and Types of Anomalies: A Review of Deviations in Data

Ralph Foorthuis

Anomalies are occurrences in a dataset that are in some way unusual and do not fit the general patterns. The concept of the anomaly is typically ill-defined and perceived as vague…