Research Explorer

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Project

Constraint-based data cleaning

Outputs and Outcomes

Code

bof/baf/4y/2024/01/019

Duration

01 January 2024 → 31 December 2025

Funding

Regional and community funding: Special Research Fund

Promotor

Antoon Bronselaer

Research disciplines

Natural sciences
- Database theory

Keywords

data cleaning relational databases data quality

Project description

In this project, we investigate how integrity constraints can be used in data cleaning. In particular, we investigate:

- a balance between expressivity of constraints and complexity of the fundamental algorithms (e.g., implication)

- the repair problem: how to turn inconsistent (dirty) data into consistent (clean) data in a cost-optimal manner

- the role of cost models in the generation of explainable consistent data

English

Dutch

English

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