Alejandro Mate
Alejandro Mate
Associate Professor at University of Alicante (UA)
Verified email at
Cited by
Cited by
Goal-oriented requirements engineering: an extended systematic mapping study
J Horkoff, FB Aydemir, E Cardoso, T Li, A Maté, E Paja, M Salnitri, L Piras, ...
Requirements engineering 24, 133-160, 2019
Application of data mining techniques to identify relevant key performance indicators
J Peral, A Maté, M Marco
Computer Standards & Interfaces 54, 76-85, 2017
Current state of Linked Data in digital libraries
M Hallo, S Luján-Mora, A Maté, J Trujillo
Journal of Information Science 42 (2), 117-127, 2016
Goal-oriented requirements engineering: a systematic literature map
J Horkoff, FB Aydemir, E Cardoso, T Li, A Maté, E Paja, M Salnitri, ...
2016 IEEE 24th International Requirements Engineering Conference (RE), 106-115, 2016
Specification and derivation of key performance indicators for business analytics: A semantic approach
A Maté, J Trujillo, J Mylopoulos
Data & Knowledge Engineering 108, 30-49, 2017
Conceptualizing and specifying key performance indicators in business strategy models
A Maté, J Trujillo, J Mylopoulos
Conceptual Modeling: 31st International Conference ER 2012, Florence, Italy …, 2012
Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping study
MJ Rivera, MA Teruel, A Mate, J Trujillo
Artificial Intelligence Review, 1-43, 2022
Solar energy prediction model based on artificial neural networks and open data
JM Barrera, A Reina, A Maté, JC Trujillo
Sustainability 12 (17), 6915, 2020
Tactical business-process-decision support based on KPIs monitoring and validation
JM Pérez-Álvarez, A Maté, MT Gómez-López, J Trujillo
Computers in Industry 102, 23-39, 2018
Improving sustainability of smart cities through visualization techniques for big data from IoT devices
A Lavalle, MA Teruel, A Maté, J Trujillo
Sustainability 12 (14), 5595, 2020
A trace metamodel proposal based on the model driven architecture framework for the traceability of user requirements in data warehouses
A Maté, J Trujillo
Information Systems 37 (8), 753-766, 2012
Adding semantic modules to improve goal-oriented analysis of data warehouses using I-star
A Maté, J Trujillo, X Franch
Journal of systems and software 88, 102-111, 2014
Ontology-driven approach for KPI meta-modelling, selection and reasoning
M del Mar Roldán-García, J García-Nieto, A Maté, J Trujillo, ...
International Journal of Information Management 58, 102018, 2021
Business intelligence 2.0: A general overview
J Trujillo, A Maté
Business Intelligence: First European Summer School, eBISS 2011, Paris …, 2012
Data quality best practices in IoT environments
R Perez-Castillo, AG Carretero, M Rodriguez, I Caballero, M Piattini, ...
2018 11th International Conference on the Quality of Information and …, 2018
Visualization requirements for business intelligence analytics: a goal-based, iterative framework
A Lavalle, A Maté, J Trujillo, S Rizzi
2019 IEEE 27th International Requirements Engineering Conference (RE), 109-119, 2019
A hybrid integrated architecture for energy consumption prediction
A Mate, J Peral, A Ferrandez, D Gil, J Trujillo
Future Generation Computer Systems 63, 131-147, 2016
An iterative methodology for big data management, analysis and visualization
R Tardio, A Mate, J Trujillo
2015 IEEE International Conference on Big Data (Big Data), 545-550, 2015
A systematic approach for dynamic targeted monitoring of KPIs.
A Maté, K Zoumpatianos, T Palpanas, J Trujillo, J Mylopoulos, E Koci
CASCON, 192-206, 2014
On the joint use of iwith other modelling frameworks: A vision paper
X Franch, A Maté, JC Trujillo, C Cares
2011 IEEE 19th International Requirements Engineering Conference, 133-142, 2011
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