Miriam A. M. Capretz
Miriam A. M. Capretz
Professor of Software Engineering, Western University, Canada
Verifierad e-postadress på uwo.ca - Startsida
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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
Mlaas: Machine learning as a service
M Ribeiro, K Grolinger, MAM Capretz
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
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
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
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
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
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
A dependency impact analysis model for web services evolution
S Wang, MAM Capretz
2009 IEEE International Conference on Web Services, 359-365, 2009
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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