Morteza Zihayat
Morteza Zihayat
Toronto Metropolitan University, University of Waterloo, IBM Canada
Verified email at - Homepage
Cited by
Cited by
Efficient bi-objective team formation in social networks
M Kargar, A An, M Zihayat
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012
Mining top-k high utility patterns over data streams
M Zihayat, A An
Information Sciences, 2014
Finding affordable and collaborative teams from a network of experts
M Kargar, M Zihayat, A An
Proceedings of the 2013 SIAM international conference on data mining, 587-595, 2013
A utility-based news recommendation system
M Zihayat, A Ayanso, X Zhao, H Davoudi, A An
Decision Support Systems 117, 14-27, 2019
A DCT based approach for detecting novelty and concept drift in data streams
M ZiHayat, MR Hashemi
Soft Computing and Pattern Recognition (SoCPaR), 2010 International …, 2010
Alleviating the cold-start problem of recommender systems using a new hybrid approach
J Basiri, A Shakery, B Moshiri, MZ Hayat
2010 5th International Symposium on Telecommunications, 962-967, 2010
Mining significant high utility gene regulation sequential patterns
M Zihayat, H Davoudi, A An
BMC systems biology 11, 1-14, 2017
High-utility pattern mining
P Fournier-Viger, JCW Lin, R Nkambou, B Vo, VS Tseng
Cham: Springer, 2019
Distributed and parallel high utility sequential pattern mining
M Zihayat, ZZ Hut, A An, Y Hut
2016 IEEE International Conference on Big Data (Big Data), 853-862, 2016
A big data analytics framework for detecting user-level depression from social networks
X Yang, R McEwen, LR Ong, M Zihayat
International Journal of Information Management 54, 102141, 2020
Memory-adaptive high utility sequential pattern mining over data streams
M Zihayat, Y Chen, A An
Machine Learning 106, 799-836, 2017
Compact group discovery in attributed graphs and social networks
A Khan, L Golab, M Kargar, J Szlichta, M Zihayat
Information Processing & Management 57 (2), 102054, 2020
Mining high utility sequential patterns from evolving data streams
M Zihayat, CW Wu, A An, VS Tseng
Proceedings of the ASE BigData & SocialInformatics 2015, 1-6, 2015
Content-based concept drift detection for email spam filtering
M Zihayat, J Basiri, L Seyedhossein, A Shakery
Telecommunications (IST), 2010 5th International Symposium on, 531-536, 2010
Authority-based team discovery in social networks
M Zihayat, A An, L Golab, M Kargar, J Szlichta
arXiv preprint arXiv:1611.02992, 2016
An improved fuzzy k-medoids clustering algorithm with optimized number of clusters
A Sabzi, Y Farjami, M ZiHayat
2011 11th International Conference on Hybrid Intelligent Systems (HIS), 206-210, 2011
Effective Keyword Search over Weighted Graphs
M Kargar, L Golab, D Srivastava, J Szlichta, M Zihayat
IEEE Transactions on Knowledge and Data Engineering, 1-1, 2020
Adaptive paywall mechanism for digital news media
H Davoudi, A An, M Zihayat, G Edall
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Efficiently mining high utility sequential patterns in static and streaming data
M Zihayat, CW Wu, A An, VS Tseng, C Lin
Intelligent Data Analysis 21 (S1), S103-S135, 2017
Top-k utility-based gene regulation sequential pattern discovery
M Zihayat, H Davoudi, A An
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
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