Data warehousing methodologies share a common set of tasks, including business requirements analysis, data design, architectural design, implementation and deployment. Clinical da...
The problem of data cleaning, which consists of removing inconsistencies and errors from original data sets, is well known in the area of decision support systems and data warehou...
Helena Galhardas, Daniela Florescu, Dennis Shasha,...
Hiding data values in privacy-preserving data mining (PPDM) protects information against unauthorized attacks while maintaining analytical data properties. The most popular models...
Abstract. In order to employ the Web as a medium for data and information integration, comprehensive datasets and vocabularies are required as they enable the disambiguation and al...
rces. A data warehouse can be abstractly seen as a set of materialized views. Selecting views for materialization in a data warehouse is one of the most important decisions making ...