The processing of complex data is admittedly among the major concerns of knowledge
discovery from data (kdd). Indeed, a major part of the data worth analyzing is stored in …

The use of different domain-specific modeling languages and diverse versions of the same
modeling language often entails the need to translate models between the different …

Model-driven engineering promotes models as main development artifacts. As several
models may be manipulated during the software-development life cycle, model …

Abstract Model transformation is a key enabling technology of Model-Driven Engineering
(MDE). Existing model transformation languages are shaped by and for MDE practitioners …

Abstract Relational Concept Analysis (RCA) has been designed to classify sets of objects
described by attributes and relations between these objects. This is achieved by iterating on …

We propose a generic framework for model-set selection for learning or testing Model-
Driven Engineering tasks. We target specifically tasks that apply to or manipulate models …

We propose a genetic programming-based approach to automatically learn model
transformation rules from prior transformation pairs of source-target models used as …

The mobile market is composed of several mobile platforms (Android, iOS, WP...), each
offers its own SDK and requires specific capabilities. With the existing incompatibility …

Software modeling activities typically involve a tedious and time-consuming effort by
specially trained personnel. This lack of automation hampers the adoption of model-driven …

Manufacturers use cloud manufacturing platforms to offer their services. The literature has
suggested a semantic web-based cloud manufacturing framework, in which engineering …