Miriam A. M. Capretz
Miriam A. M. Capretz
Professor of Software Engineering, Western University, Canada
E-mail confirmado em uwo.ca - Página inicial
Citado por
Citado por
Machine learning with big data: Challenges and approaches
A L’heureux, K Grolinger, HF Elyamany, MAM Capretz
Ieee Access 5, 7776-7797, 2017
Data management in cloud environments: NoSQL and NewSQL data stores
K Grolinger, WA Higashino, A Tiwari, MAM Capretz
Journal of Cloud Computing: advances, systems and applications 2 (1), 1-24, 2013
Challenges for mapreduce in big data
K Grolinger, M Hayes, WA Higashino, A L'Heureux, DS Allison, ...
2014 IEEE world congress on services, 182-189, 2014
Energy forecasting for event venues: Big data and prediction accuracy
K Grolinger, A L’Heureux, MAM Capretz, L Seewald
Energy and buildings 112, 222-233, 2016
Mlaas: Machine learning as a service
M Ribeiro, K Grolinger, MAM Capretz
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
An ensemble learning framework for anomaly detection in building energy consumption
DB Araya, K Grolinger, HF ElYamany, MAM Capretz, G Bitsuamlak
Energy and Buildings 144, 191-206, 2017
Contextual anomaly detection framework for big sensor data
MA Hayes, MAM Capretz
Journal of Big Data 2 (1), 1-22, 2015
A semantic big data platform for integrating heterogeneous wearable data in healthcare
E Mezghani, E Exposito, K Drira, M Da Silveira, C Pruski
Journal of medical systems 39 (12), 1-8, 2015
A dependency impact analysis model for web services evolution
S Wang, MAM Capretz
2009 IEEE International Conference on Web Services, 359-365, 2009
Transfer learning with seasonal and trend adjustment for cross-building energy forecasting
M Ribeiro, K Grolinger, HF ElYamany, WA Higashino, MAM Capretz
Energy and Buildings 165, 352-363, 2018
Myifogsim: A simulator for virtual machine migration in fog computing
MM Lopes, WA Higashino, MAM Capretz, LF Bittencourt
Companion Proceedings of the10th International Conference on Utility and …, 2017
Contextual anomaly detection in big sensor data
MA Hayes, MAM Capretz
2014 IEEE International Congress on Big Data, 64-71, 2014
Online trust: Definition and principles
ZM Aljazzaf, M Perry, MAM Capretz
2010 Fifth International Multi-conference on Computing in the Global …, 2010
Component-based software development
LF Capretz, MAM Capretz, D Li
IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society …, 2001
Knowledge as a service framework for disaster data management
K Grolinger, MAM Capretz, E Mezghani, E Exposito
2013 Workshops on Enabling Technologies: Infrastructure for Collaborative …, 2013
CEPSim: Modelling and simulation of Complex Event Processing systems in cloud environments
WA Higashino, MAM Capretz, LF Bittencourt
Future Generation Computer Systems 65, 122-139, 2016
Storing massive Resource Description Framework (RDF) data: a survey
Z Ma, MAM Capretz, L Yan
The Knowledge Engineering Review 31 (4), 391-413, 2016
Energy consumption prediction with big data: Balancing prediction accuracy and computational resources
K Grolinger, MAM Capretz, L Seewald
2016 IEEE International Congress on Big Data (BigData Congress), 157-164, 2016
Integration of business process modeling and Web services: a survey
K Grolinger, MAM Capretz, A Cunha, S Tazi
Service Oriented Computing and Applications 8 (2), 105-128, 2014
Collective contextual anomaly detection framework for smart buildings
DB Araya, K Grolinger, HF ElYamany, MAM Capretz, G Bitsuamlak
2016 international joint conference on neural networks (IJCNN), 511-518, 2016
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