Fadi Fayez
Fadi Fayez
Unknown affiliation
Verified email at manukau.ac.nz
Cited by
Cited by
A review of associative classification mining
F Thabtah
The Knowledge Engineering Review 22 (1), 37-65, 2007
MMAC: A new multi-class, multi-label associative classification approach
FA Thabtah, P Cowling, Y Peng
Fourth IEEE International Conference on Data Mining (ICDM'04), 217-224, 2004
Phishing detection based associative classification data mining
N Abdelhamid, A Ayesh, F Thabtah
Expert Systems with Applications 41 (13), 5948-5959, 2014
MCAR: multi-class classification based on association rule
F Thabtah, P Cowling, Y Peng
The 3rd ACS/IEEE International Conference onComputer Systems andá…, 2005
Predicting phishing websites based on self-structuring neural network
RM Mohammad, F Thabtah, L McCluskey
Neural Computing and Applications 25 (2), 443-458, 2014
Intelligent phishing detection system for e-banking using fuzzy data mining
M Aburrous, MA Hossain, K Dahal, F Thabtah
Expert systems with applications 37 (12), 7913-7921, 2010
Intelligent rule-based phishing websites classification
RM Mohammad, F Thabtah, L McCluskey
IET Information Security 8 (3), 153-160, 2014
An assessment of features related to phishing websites using an automated technique
RM Mohammad, F Thabtah, L McCluskey
2012 International Conference for Internet Technology and Securedá…, 2012
A machine learning framework for sport result prediction
RP Bunker, F Thabtah
Applied computing and informatics 15 (1), 27-33, 2019
Machine learning in autistic spectrum disorder behavioral research: A review and ways forward
F Thabtah
Informatics for Health and Social Care 43 (2), 1-20, 2018
Autism spectrum disorder screening: machine learning adaptation and DSM-5 fulfillment
F Thabtah
Proceedings of the 1st International Conference on Medical and healthá…, 2017
Predicting phishing websites using classification mining techniques with experimental case studies
M Aburrous, MA Hossain, K Dahal, F Thabtah
2010 Seventh International Conference on Information Technology: Newá…, 2010
Tutorial and Critical Analysis of Phishing Websites Methods
R Mohammad, F Thabtah, TL McCluskey
Computer Science Review, 2015
Na´ve Bayesian based on Chi Square to categorize Arabic data
F Thabtah, M Eljinini, M Zamzeer, W Hadi
proceedings of The 11th International Business Information Managementá…, 2009
Data imbalance in classification: Experimental evaluation
F Thabtah, S Hammoud, F Kamalov, A Gonsalves
Information Sciences 513, 429-441, 2020
A new machine learning model based on induction of rules for autism detection
F Thabtah, D Peebles
Health informatics journal 26 (1), 264-286, 2020
A new computational intelligence approach to detect autistic features for autism screening
F Thabtah, F Kamalov, K Rajab
International journal of medical informatics 117, 112-124, 2018
Improving rule sorting, predictive accuracy and training time in associative classification
F Thabtah, P Cowling, S Hammoud
Expert Systems with Applications 31 (2), 414-426, 2006
A greedy classification algorithm based on association rule
FA Thabtah, PI Cowling
Applied Soft Computing 7 (3), 1102-1111, 2007
Experimental case studies for investigating e-banking phishing techniques and attack strategies
M Aburrous, MA Hossain, K Dahal, F Thabtah
Cognitive Computation 2 (3), 242-253, 2010
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