Neda Hamid
Neda Hamid
Auckland Institute of Studies
Verified email at ais.ac.nz
Title
Cited by
Cited by
Year
Phishing detection based associative classification data mining
N Abdelhamid, A Ayesh, F Thabtah
Expert Systems with Applications 41 (13), 5948-5959, 2014
2832014
MAC: A multiclass associative classification algorithm
N Abdelhamid, A Ayesh, F Thabtah, S Ahmadi, W Hadi
Journal of Information & Knowledge Management 11 (02), 1250011, 2012
702012
Associative classification approaches: review and comparison
N Abdelhamid, F Thabtah
Journal of Information & Knowledge Management 13 (03), 1450027, 2014
652014
Phishing detection: A recent intelligent machine learning comparison based on models content and features
N Abdelhamid, F Thabtah, H Abdel-jaber
2017 IEEE international conference on intelligence and security informatics …, 2017
532017
Multi-label rules for phishing classification
N Abdelhamid
Applied Computing and Informatics 11 (1), 29-46, 2015
492015
NBA game result prediction using feature analysis and machine learning
F Thabtah, L Zhang, N Abdelhamid
Annals of Data Science 6 (1), 103-116, 2019
442019
Prediction phase in associative classification mining
F Thabtah, W Hadi, N Abdelhamid, A Issa
International Journal of Software Engineering and Knowledge Engineering 21 …, 2011
372011
A machine learning autism classification based on logistic regression analysis
F Thabtah, N Abdelhamid, D Peebles
Health information science and systems 7 (1), 1-11, 2019
322019
Multi-label rules algorithm based associative classification
N Abdelhamid, A Ayesh, W Hadi
Parallel Processing Letters 24 (01), 1450001, 2014
232014
Deriving correlated sets of website features for phishing detection: a computational intelligence approach
F Thabtah, N Abdelhamid
Journal of Information & Knowledge Management 15 (04), 1650042, 2016
222016
Associative classification mining for website phishing classification
N Abdelhamid, A Ayesh, F Thabtah
Proceedings on the International Conference on Artificial Intelligence (ICAI), 1, 2013
192013
A visualization cybersecurity method based on features' dissimilarity
R AlShboul, F Thabtah, N Abdelhamid, M Al-Diabat
Computers & Security 77, 289-303, 2018
162018
An experimental study of three different rule ranking formulas in associative classification
N Abdelhamid, A Ayesh, F Thabtah
2012 International Conference for Internet Technology and Secured …, 2012
142012
Emerging trends in associative classification data mining
N Abdelhamid, A Ayesh, F Thabtah
International Journal of Electronics and Electrical Engineering 3 (1), 50-53, 2015
132015
Phishing detection using associative classification data mining
N Abdelhamid, A Ayesh, F Thabtah
Proceedings of the International Conference on Artificial Intelligence (ICAI …, 2013
112013
Associative classification common research challenges
N Abdelhamid, AA Jabbar, F Thabtah
2016 45th International Conference on Parallel Processing Workshops (ICPPW …, 2016
102016
Exploring feature selection and classification methods for predicting heart disease
R Spencer, F Thabtah, N Abdelhamid, M Thompson
Digital health 6, 2055207620914777, 2020
92020
Ranking and Grouping Website’s Features to Combat Phishing
F Thabtah, N Abdelhamid
7th International Conference on Computer Science and Information Technology …, 2016
4*2016
Patient discharge classification using machine learning techniques
A Gramaje, F Thabtah, N Abdelhamid, SK Ray
Annals of Data Science, 1-13, 2019
32019
Data Imbalance in Autism Pre-Diagnosis Classification Systems: An Experimental Study
N Abdelhamid, A Padmavathy, D Peebles, F Thabtah, D Goulder-Horobin
Journal of Information & Knowledge Management 19 (01), 2040014, 2020
12020
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