On the Automated Transformation of Domain Models into Tabular Datasets
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Vega Ruiz, Alfonso de la



Date
2017-05Derechos
© Los autores
Publicado en
CEUR Workshop Proceedings, 2017, vol.1979, pp.100-113
Publisher
R. Piskac c/o Redaktion Sun SITE Informatik V RWTH Aachen
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Palabras clave
Data Mining
Model-Driven Engineering
Domain-Driven Design
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.
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