Mohamed Medhat Gaber
Mohamed Medhat Gaber
Professor in Data Analytics, School of Computing and Digital Technology, Birmingham City University
Verified email at - Homepage
Cited by
Cited by
Mining data streams: a review
MM Gaber, A Zaslavsky, S Krishnaswamy
ACM Sigmod Record 34 (2), 18-26, 2005
Learning from data streams: processing techniques in sensor networks
J Gama, MM Gaber
Springer Science & Business Media, 2007
Imitation learning: A survey of learning methods
A Hussein, MM Gaber, E Elyan, C Jayne
ACM Computing Surveys (CSUR) 50 (2), 1-35, 2017
A survey of data mining techniques for social media analysis
M Adedoyin-Olowe, MM Gaber, F Stahl
Journal of Data Mining & Digital Humanities 2014, 2014
Random forests: from early developments to recent advancements
K Fawagreh, MM Gaber, E Elyan
Systems Science & Control Engineering: An Open Access Journal 2 (1), 602-609, 2014
Data stream mining
MM Gaber, A Zaslavsky, S Krishnaswamy
Data Mining and Knowledge Discovery Handbook, 759-787, 2009
A survey of classification methods in data streams
MM Gaber, A Zaslavsky, S Krishnaswamy
Data streams, 39-59, 2007
Advances in data stream mining
MM Gaber
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2 (1 …, 2012
Adaptive mobile activity recognition system with evolving data streams
ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy
Neurocomputing 150, 304-317, 2015
Reasoning about context in uncertain pervasive computing environments
PD Haghighi, S Krishnaswamy, A Zaslavsky, MM Gaber
European Conference on Smart Sensing and Context, 112-125, 2008
SA-E: sentiment analysis for education
N Altrabsheh, MM Gaber, M Cocea
International conference on intelligent decision technologies 255, 353-362, 2013
A framework for resource-aware knowledge discovery in data streams: a holistic approach with its application to clustering
MM Gaber, PS Yu
Proceedings of the 2006 ACM symposium on Applied computing, 649-656, 2006
Cost-efficient mining techniques for data streams
MM Gaber, S Krishnaswamy, A Zaslavsky
Australasian Workshop on Data Mining and Web Intelligence: 17/12/2004 32 …, 2004
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
A Abbas, MM Abdelsamea, MM Gaber
arXiv preprint arXiv:2003.13815, 2020
On-board mining of data streams in sensor networks
MM Gaber, S Krishnaswamy, A Zaslavsky
Advanced methods for knowledge discovery from complex data, 307-335, 2005
Next challenges for adaptive learning systems
I Zliobaite, A Bifet, M Gaber, B Gabrys, J Gama, L Minku, K Musial
ACM SIGKDD Explorations Newsletter 14 (1), 48-55, 2012
Resource-aware online data mining in wireless sensor networks
ND Phung, MM Gaber, U Rohm
2007 IEEE Symposium on Computational Intelligence and Data Mining, 139-146, 2007
Ubiquitous data stream mining
M Gaber, S Krishnaswamy, A Zaslavsky
Proceedings of Current Research and Future Directions Workshop Proceedings …, 2004
Adaptive mining techniques for data streams using algorithm output granularity
MM Gaber, S Krishnaswamy, A Zaslavsky
Australasian Data Mining Workshop: 08/12/2003-12/12/2003, 2003
Density-based projected clustering of data streams
M Hassani, P Spaus, MM Gaber, T Seidl
International Conference on Scalable Uncertainty Management, 311-324, 2012
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