| Phishing detection based associative classification data mining N Abdelhamid, A Ayesh, F Thabtah Expert Systems with Applications 41 (13), 5948-5959, 2014 | 418 | 2014 |
| Exploring feature selection and classification methods for predicting heart disease R Spencer, F Thabtah, N Abdelhamid, M Thompson Digital health 6, 2055207620914777, 2020 | 155 | 2020 |
| 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 | 133 | 2019 |
| 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 | 117 | 2017 |
| A machine learning autism classification based on logistic regression analysis F Thabtah, N Abdelhamid, D Peebles Health information science and systems 7 (1), 12, 2019 | 114 | 2019 |
| Associative classification approaches: review and comparison N Abdelhamid, F Thabtah Journal of Information & Knowledge Management 13 (03), 1450027, 2014 | 99 | 2014 |
| 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 | 79 | 2012 |
| Multi-label rules for phishing classification N Abdelhamid Applied Computing and Informatics 11 (1), 29-46, 2015 | 66 | 2015 |
| Prediction phase in associative classification mining F Thabtah, W Hadi, N Abdelhamid, A Issa International Journal of Software Engineering and Knowledge Engineering 21 …, 2011 | 44 | 2011 |
| 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 | 29 | 2016 |
| A visualization cybersecurity method based on features' dissimilarity R AlShboul, F Thabtah, N Abdelhamid, M Al-Diabat Computers & Security 77, 289-303, 2018 | 26 | 2018 |
| Multi-label rules algorithm based associative classification N Abdelhamid, A Ayesh, W Hadi Parallel Processing Letters 24 (01), 1450001, 2014 | 26 | 2014 |
| Associative classification mining for website phishing classification N Abdelhamid, A Ayesh, F Thabtah Proceedings on the International Conference on Artificial Intelligence (ICAI), 1, 2013 | 23 | 2013 |
| 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 | 17 | 2020 |
| 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 | 16 | 2015 |
| 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 | 16 | 2012 |
| A new classification system for autism based on machine learning of artificial intelligence SR Shahamiri, F Thabtah, N Abdelhamid Technology and Health Care 30 (3), 605-622, 2022 | 14 | 2022 |
| Associative classification common research challenges N Abdelhamid, AA Jabbar, F Thabtah 2016 45th International Conference on Parallel Processing Workshops (ICPPW …, 2016 | 13 | 2016 |
| Website Phishing Data Set N Abdelhamid Irvine, CA, 2016 | 12 | 2016 |
| Phishing detection using associative classification data mining N Abdelhamid, A Ayesh, F Thabtah Proceedings of the International Conference on Artificial Intelligence (ICAI …, 2013 | 12 | 2013 |
