Evaluating the Effectiveness of LLMs and Prompting Techniques in Generating Data Quality Rules

This thesis explores the use of generative artificial intelligence (GenAI), specifically large language models (LLMs), to automate the creation of data quality (DQ) rules. Traditional rule-based systems are difficult to scale in large and dynamic data environments. To address this, the study evaluat...

Täydet tiedot

Bibliografiset tiedot
Päätekijä: Siyam, Sohag
Muut tekijät: Informaatioteknologian tiedekunta, Faculty of Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Aineistotyyppi: Pro gradu
Kieli:eng
Julkaistu: 2025
Aiheet:
Linkit: https://jyx.jyu.fi/handle/123456789/102965