@conference{10902/13682,
year = {2017},
month = {5},
url = {http://hdl.handle.net/10902/13682},
abstract = {We are surrounded by ubiquitous and interconnected soft- ware systems which gather valuable data. The analysis of these data, although highly relevant for decision making, cannot be performed di- rectly by business users, as its execution requires very speci c technical knowledge in areas such as statistics and data mining. One of the com- plexity problems faced when constructing an analysis of this kind resides in the fact that most data mining tools and techniques work exclusively over tabular-formatted data, preventing business users from analysing excerpts of a data bundle which have not been previously traduced into this format by an expert. In response, this work presents a set of transfor- mation patterns for automatically generating tabular data from domain models. The described patterns have been integrated into a language, which allows business users to specify the elements of a domain model that should be considered for data analysis.},
organization = {This work has been partially funded by the Government of Cantabria (Spain) under the doctoral studentship program from the University of Cantabria, and by the Spanish Government under grant TIN2014- 56158-C4-2-P (M2C2).},
publisher = {R. Piskac c/o Redaktion Sun SITE Informatik V RWTH Aachen},
publisher = {CEUR Workshop Proceedings, 2017, vol.1979, pp.100-113},
title = {On the Automated Transformation of Domain Models into Tabular Datasets},
author = {Vega Ruiz, Alfonso de la and García Saiz, Diego and Zorrilla Pantaleón, Marta E. and Sánchez Barreiro, Pablo},
}