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An Application of Data Mining to Identify Data Quality Problems

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2 Author(s)
Eshref Januzaj ; Dept. of Data Anal., MALI - Inf. Technol., Kosova ; Visar Januzaj

Modern information systems consist of many distributed computer and database systems. The integration of such distributed data into a single data warehouse system is confronted with the well known problem of low data quality. In this paper we present an approach that facilitates a dynamic identification of spurious and error-prone data stored in a large data warehouse. The identification of data quality problems is based on data mining techniques, such as clustering, subspace clustering and classification. Furthermore, we present via a case study the applicability of our approach on real data. The experimental results show that our approach efficiently identifies data quality problems.

Published in:

Advanced Engineering Computing and Applications in Sciences, 2009. ADVCOMP '09. Third International Conference on

Date of Conference:

11-16 Oct. 2009