Enhancing on line analytical processing through efficient cube computation plays a key role in Data Warehouse management. Hashing, grouping and mining techniques are commonly used ...
Alfredo Ferro, Rosalba Giugno, Piera Laura Puglisi...
Data Warehouses (DW) manage crucial enterprise information used for the decision making process which has to be protected from unauthorized accesses. However, security constraints ...
While in the past the BI market was strictly dominated by closed source and commercial tools, the last few years were characterized by the birth of open source solutions: first as ...
Abstract. This paper presents a framework for integrating OLAP and recommendations. We focus on the anticipatory recommendation process that assists the user during his OLAP analys...
Since transaction identifiers (ids) are unique and would not usually be frequent, mining frequent patterns with transaction ids, showing records they occurred in, provides an effic...
Skyline queries have gained much attention as alternative query semantics with pros (e.g.low query formulation overhead) and cons (e.g.large control over result size). To overcome ...
Data warehousing involves complex processes that transform source data through several stages to deliver suitable information ready to be analysed. Though many techniques for visua...
Abstract. In the last years, extending OLAP (On-Line Analytical Processing) systems with spatial and temporal features has attracted the attention of of the GIS (Geographic Informa...
A process, based on argumentation theory, is described for classifying very noisy data. More specifically a process founded on a concept called “arguing from experience” is des...
Maya Wardeh, Frans Coenen, Trevor J. M. Bench-Capo...
Frequent constraint violations on the data stored in a database may suggest that the semantics of the represented reality is changing. In this work we propose a methodology and a t...