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Mostrando ítems 161-170 de 189
Artículo
BIGOWL4DQ: Ontology-driven approach for Big Data quality meta-modelling, selection and reasoning
(Elsevier B.V., 2024)
Data quality should be at the core of many Artificial Intelligence initiatives from the very first moment in which data is required for a successful analysis. Measurement and evaluation of the level of quality are crucial ...
Artículo
An MDA Proposal To Integrate the Measurement Lifecycle Into the Process Lifecycle
(River Publishers, 2021-10-22)
Measuring the Software Development Process (SDP) supports organizations in their endeavor to understand, manage, and improve their development processes and projects. In the last decades, the SDP has evolved to meet the ...
Artículo
Model Transformation Testing and Debugging: A Survey
(ACM Digital Library, 2022-11-21)
Model transformations are the key technique in Model-Driven Engineering (MDE) to manipulate and construct models. As a consequence, the correctness of software systems built with MDE approaches relies mainly on the correctness ...
Artículo
Interorganizational Business Modeling: an Approach for Traceability of Goals, Organizational Models and Business Processes
(IEEE Computer Society, 2011)
The main goal of business modeling is to understand organizations to provide software solutions with high added value. This is a task far from trivial, and becomes more complex when it is modeled not a single ...
Artículo
An adaptive methodology to discretize and select features
(SciEdu Press, 2013)
A lot of significant data describing the behavior or/and actions of systems can be collected in several domains. These data define some aspects, called features, that can be clustered in several classes. A qualitative or ...
Artículo
Data streams classification using deep learning under different speeds and drifts
(Oxford University Press, 2022)
Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. Although deep neural networks are the state-of-the-art for many machine learning tasks, ...
Artículo
When business processes meet complex events in logistics: A systematic mapping study
(Elsevier, 2022)
Logistics processes are attracting growing attention because of the globalisation of the market. Its growing complexity and the need for reducing costs have provoked the seek of new solutions based on the processing of the ...
Artículo
Using Constraint Programming in Selection Operators for Constraint Databases
(Elsevier, 2014)
Constraint Databases represent complex data by means of formulas described by constraints (equations, inequations or Boolean combinations of both). Commercial database management systems allow the storage and efficient ...
Artículo
Trip destination prediction based on past GPS log using a Hidden Markov Model
(Elsevier, 2010)
In this paper, a system based on the generation of a Hidden Markov Model from the past GPS log and cur- rent location is presented to predict a user’s destination when beginning a new trip. This approach dras- tically ...
Artículo
An automatic process for weaving functional quality attributes using a software product line approach
(Elsevier, 2016)
Some quality attributes can be modelled using software components, and are normally known as Functional Quality Attributes (FQAs). Applications may require different FQAs, and each FQA (e.g., security) can be composed of ...