Small Materialized Aggregates (SMAs for short) are considered a highly flexible and versatile alternative for materialized data cubes. The basic idea is to compute many aggregate ...
Data mining techniques and machine learning methods are commonly used in several disciplines. It is possible that they could also provide a basis for quality assessment of softwar...
Processing spatial joins efficiently is crucial to rendering the spatial data analysis process feasible. As pointed out in many works, the exact intersection test of two spatial ob...
Rodrigo Salvador Monteiro, Leonardo Guerreiro Azev...
We present some architectural and technological insights on SAP’s HANA database and derive research challenges for future enterprise application development. The HANA database m...
Joos-Hendrik Boese, Cafer Tosun, Christian Mathis,...
The process of building a new database relevant to some field of study in biomedicine involves transforming, integrating, and cleansing multiple data sources, as well as adding ne...