Journal of Systems Integration, Vol 5, No 4 (2014)

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Critical Evaluation of Validation Rules Automated Extraction from Data

David Pejcoch

Abstract


The goal of this article is to critically evaluate a possibility of automatic extraction of such kind of rules which could be later used within a Data Quality Management process for validation of records newly incoming to Information System. For practical demonstration the 4FT-Miner procedure implemented in LISpMiner System was chosen. A motivation for this task is the potential simplification of projects focused on Data Quality Management. Initially, this article is going to critically evaluate a possibility of fully automated extraction with the aim to identify strengths and weaknesses of this approach in comparison to its alternative, when at least some a priori knowledge is available. As a result of practical implementation, this article provides design of recommended process which would be used as a guideline for future projects. Also the question of how to store and maintain extracted rules and how to integrate them with existing tools supporting Data Quality Management is discussed.

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DOI: http://dx.doi.org/10.20470/jsi.v5i4.212

ISSN: 1804-2724

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This work is licensed under a Creative Commons Attribution-Noncommercial 3.0 Czech Republic License.