Data warehousing methodologies share a common set of tasks, including business requirements analysis, data design, architectural design, implementation and deployment. Clinical da...
With the proliferation of the RDF data format, engines for RDF query processing are faced with very large graphs that contain hundreds of millions of RDF triples. This paper addre...
A well-known challenge in data warehousing is the efficient incremental maintenance of warehouse data in the presence of source data updates. In this paper, we identify several cr...
Wilburt Labio, Jun Yang 0001, Yingwei Cui, Hector ...
Abstract. Data Warehouse (DWH) systems are used by decision makers for performance measurement and decision support. Currently the main focus of the DWH research field is not as mu...