Data quality in data warehouse systems: A context-based approach

作者: Flavia Serra , Adriana Marotta

DOI: 10.1109/CLEI.2016.7833371

关键词:

摘要: Many researchers have presented the need to incorporate and maintain data quality in Data Warehousing Systems. However, there is no consensus research community on how do it. On other hand, loaded into Warehouse come from different sources with levels of quality. Analysis domains these can vary users perceive ways, depending their profile, task be performed, etc. depends multiple factors: sources, performed data, user preferences, Hence, context which will used. For this reason, we present a proposal assess Systems an approach based Contexts.

参考文章(39)
Riccardo Torlone, Paolo Ciaccia, Modeling the propagation of user preferences international conference on conceptual modeling. ,vol. 6998, pp. 304- 317 ,(2011) , 10.5555/2075144.2075175
Elzbieta Malinowski, Esteban Zimnyi, Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications (Data-Centric Systems and Applications) Springer Publishing Company, Incorporated. ,(2008)
Matteo Golfarelli, Stefano Rizzi, Data Warehouse Design: Modern Principles and Methodologies ,(2009)
Anil Rai, Vipin Dubey, K.K. Chaturvedi, P.K. Malhotra, Original papers: Design and development of data mart for animal resources Computers and Electronics in Agriculture. ,vol. 64, pp. 111- 119 ,(2008) , 10.1016/J.COMPAG.2008.04.009
Carlo Batini, Monica Scannapieco, Paolo Missier, Data Quality at a Glance Datenbank-spektrum. ,vol. 14, pp. 6- 14 ,(2005)
Oleksiy Chayka, Themis Palpanas, Florian Daniel, Fabio Casati, Managing Data Quality in Business Intelligence Applications. QDB/MUD. pp. 133- 143 ,(2008)
Georges Daniel Amvame Nze, Rafael Timoteo de Sousa, Flavio Elias de Deus, Wesley Gongora de Almeida, Fabio Lucio Lopes de Mendonca, Taxonomy of data quality problems in multidimensional Data Warehouse models iberian conference on information systems and technologies. pp. 1- 7 ,(2013)
Richard Y. Wang, Diane M. Strong, Beyond accuracy: what data quality means to data consumers Journal of Management Information Systems. ,vol. 12, pp. 5- 33 ,(1996) , 10.1080/07421222.1996.11518099