Prediction Phase in Associative Classification Mining. - Fadi A. Thabtah; Wael Hadi; Neda Abdelhamid; Ayman Issa (Int. J. Softw. Eng. Knowl. Eng., 2011)

An experimental study of three different rule ranking formulas in associative classification. - Neda Abdelhamid; Aladdin Ayesh; Fadi A. Thabtah (ICITST, 2012)

MAC: A Multiclass Associative Classification Algorithm. - Neda Abdelhamid; Aladdin Ayesh; Fadi A. Thabtah; Samad Ahmadi; Wael Hadi (J. Inf. Knowl. Manag., 2012)

Phishing detection based Associative Classification data mining. - Neda Abdelhamid; Aladdin Ayesh; Fadi A. Thabtah (Expert Syst. Appl., 2014)

Associative Classification Approaches: Review and Comparison. - Neda Abdelhamid; Fadi A. Thabtah (J. Inf. Knowl. Manag., 2014)

Multi-Label Rules Algorithm Based Associative Classification. - Neda Abdelhamid; Aladdin Ayesh; Wael Hadi (Parallel Process. Lett., 2014)

Associative Classification Common Research Challenges. - Neda Abdelhamid; Ahmad Abdul Jabbar; Fadi A. Thabtah (ICPP Workshops, 2016)

Deriving Correlated Sets of Website Features for Phishing Detection: A Computational Intelligence Approach. - Fadi A. Thabtah; Neda Abdelhamid (J. Inf. Knowl. Manag., 2016)

Website Phishing. - Neda Abdelhamid (UCI Machine Learning Repository, 2016)

Phishing detection: A recent intelligent machine learning comparison based on models content and features. - Neda Abdelhamid; Fadi A. Thabtah; Hussein Abdel-jaber (ISI, 2017)

A visualization cybersecurity method based on features' dissimilarity. - Rabah AlShboul; Fadi A. Thabtah; Neda Abdelhamid; Mofleh Al-Diabat (Comput. Secur., 2018)

A machine learning autism classification based on logistic regression analysis. - Fadi A. Thabtah; Neda Abdelhamid; David Peebles (Health Inf. Sci. Syst., 2019)

Forecasting Models Based on Data Analytics for Predicting Rice Price Volatility: A Case Study of the Sri Lankan Rice Market. - Chanchala Hathurusingha; Neda Abdelhamid; David Airehrour (J. Inf. Knowl. Manag., 2019)

Data Imbalance in Autism Pre-Diagnosis Classification Systems: An Experimental Study. - Neda Abdelhamid; Arun J. Padmavathy; David Peebles; Fadi A. Thabtah; Daymond Goulder-Horobin (J. Inf. Knowl. Manag., 2020)

Autism screening: an unsupervised machine learning approach. - Fadi A. Thabtah; Robinson Spencer; Neda Abdelhamid; Firuz Kamalov; Carl Wentzel; Yongsheng Ye; Thanu Dayara (Health Inf. Sci. Syst., 2022)

Managerial insights for AI/ML implementation: a playbook for successful organizational integration. - Abdullah A. Abonamah; Neda Abdelhamid (Discov. Artif. Intell., 2024)