Fadi A. Thabtah

发表

The Impact of Rule Ranking on the Quality of Associative Classifiers

Peter I. Cowling, Fadi A. Thabtah, Yonghong Peng, 2005, SGAI Conf..

MAC: A Multiclass Associative Classification Algorithm

Fadi A. Thabtah, Neda Abdelhamid, Samad Ahmadi, 2012, J. Inf. Knowl. Manag..

Experimental Case Studies for Investigating E-Banking Phishing Techniques and Attack Strategies

Fadi A. Thabtah, Keshav P. Dahal, M. Alamgir Hossain, 2010, Cognitive Computation.

Prediction Phase in Associative Classification Mining

Fadi A. Thabtah, Neda Abdelhamid, Wael Hadi, 2011, Int. J. Softw. Eng. Knowl. Eng..

Intelligent phishing detection system for e-banking using fuzzy data mining

Fadi A. Thabtah, Keshav P. Dahal, M. Alamgir Hossain, 2010, Expert Syst. Appl..

Mr-arm: a Map-Reduce Association Rule Mining Framework

Fadi A. Thabtah, Suhel Hammoud, 2013, Parallel Process. Lett..

A review of associative classification mining

Fadi A. Thabtah, F. Thabtah, 2007, The Knowledge Engineering Review.

Phishing detection: A recent intelligent machine learning comparison based on models content and features

Fadi A. Thabtah, Hussein Abdel-jaber, Neda Abdelhamid, 2017, 2017 IEEE International Conference on Intelligence and Security Informatics (ISI).

Mining the data from a hyperheuristic approach using associative classification

Peter I. Cowling, Fadi A. Thabtah, 2008, Expert Syst. Appl..

Predicting phishing websites based on self-structuring neural network

T. L. McCluskey, Fadi A. Thabtah, Rami Mustafa A. Mohammad, 2013, Neural Computing and Applications.

A dynamic self-structuring neural network model to combat phishing

T. L. McCluskey, Fadi A. Thabtah, Rami Mustafa A. Mohammad, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Modeling discrete-time analytical models based on random early detection: Exponential and linear

Fadi A. Thabtah, Hussein Abdel-jaber, Michael E. Woodward, 2015, Int. J. Model. Simul. Sci. Comput..

MCAR: multi-class classification based on association rule

Peter I. Cowling, Fadi A. Thabtah, Yonghong Peng, 2005, The 3rd ACS/IEEE International Conference onComputer Systems and Applications, 2005..

Looking at the Class Associative Classification Training Algorithm

T. L. McCluskey, Fadi A. Thabtah, Qazafi Mahmood, 2008, Fifth International Conference on Information Technology: New Generations (itng 2008).

Improving rule sorting, predictive accuracy and training time in associative classification

Peter I. Cowling, Fadi A. Thabtah, Suhel Hammoud, 2006, Expert Syst. Appl..

Challenges and Interesting Research Directions in Associative Classification

Fadi A. Thabtah, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Fadi A. Thabtah, Neda Abdelhamid, F. Thabtah, 2016, J. Inf. Knowl. Manag..

A Discrete-time Queue Analytical Model based on Dynamic Random Early Drop

Fadi A. Thabtah, Hussein Abdel-jaber, Michael E. Woodward, 2007, Fourth International Conference on Information Technology (ITNG'07).

MMAC: a new multi-class, multi-label associative classification approach

Peter I. Cowling, Fadi A. Thabtah, Yonghong Peng, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

An Improved Self-Structuring Neural Network

T. L. McCluskey, Fadi A. Thabtah, Rami Mustafa A. Mohammad, 2016, PAKDD Workshops.

A New Classification Based on Association Algorithm

T. L. McCluskey, Fadi A. Thabtah, Hussein Abdel-jaber, 2010, J. Inf. Knowl. Manag..

A visualization cybersecurity method based on features' dissimilarity

Fadi A. Thabtah, Neda Abdelhamid, Mofleh Al-Diabat, 2018, Comput. Secur..

Derivation of Three Queue Nodes Discrete-Time Analytical Model Based on DRED Algorithm

Fadi A. Thabtah, Hussein Abdel-jaber, Wael Hadi, 2010, 2010 Seventh International Conference on Information Technology: New Generations.

Phishing detection based Associative Classification data mining

Fadi A. Thabtah, Neda Abdelhamid, Aladdin Ayesh, 2014, Expert Syst. Appl..

A Study of Predictive Accuracy for Four Associative Classifiers

Peter I. Cowling, Fadi A. Thabtah, Yonghong Peng, 2005, J. Digit. Inf. Manag..

A Comparative Study using Vector Space Model with K-Nearest Neighbor on Text Categorization Data

Fadi A. Thabtah, Hussein Abdel-jaber, Wa'el Musa Hadi, 2007, World Congress on Engineering.

Associative Classification Common Research Challenges

Fadi A. Thabtah, Neda Abdelhamid, Ahmad Abdul Jabbar, 2016, 2016 45th International Conference on Parallel Processing Workshops (ICPPW).

An experimental study of three different rule ranking formulas in associative classification

Fadi A. Thabtah, Neda Abdelhamid, Aladdin Ayesh, 2012, 2012 International Conference for Internet Technology and Secured Transactions.

Modelling Intelligent Phishing Detection System for E-banking Using Fuzzy Data Mining

Fadi A. Thabtah, Keshav P. Dahal, M. Alamgir Hossain, 2009, 2009 International Conference on CyberWorlds.

Associative Classification Approaches: Review and Comparison

Fadi A. Thabtah, Neda Abdelhamid, F. Thabtah, 2014, J. Inf. Knowl. Manag..

Modelling BLUE Active Queue Management using Discrete-time Queue

Fadi A. Thabtah, Hussein Abdel-jaber, Michael E. Woodward, 2007, World Congress on Engineering.

Intelligent rule-based phishing websites classification

T. L. McCluskey, Fadi A. Thabtah, Rami Mustafa A. Mohammad, 2014, IET Inf. Secur..

Predicting Phishing Websites Using Classification Mining Techniques with Experimental Case Studies

Fadi A. Thabtah, Keshav P. Dahal, M. Alamgir Hossain, 2010, 2010 Seventh International Conference on Information Technology: New Generations.

A greedy classification algorithm based on association rule

Peter I. Cowling, Fadi A. Thabtah, P. Cowling, 2007, Appl. Soft Comput..

Analytical Models based discrete-Time Queueing for the Congested Network

Fadi A. Thabtah, Hussein Abdel-jaber, Mofleh Al-Diabat, 2012, Int. J. Model. Simul. Sci. Comput..

Intelligent Quality Performance Assessment for E-Banking Security using Fuzzy Logic

Fadi A. Thabtah, Keshav P. Dahal, M. Alamgir Hossain, 2008, Fifth International Conference on Information Technology: New Generations (itng 2008).

Rule Preference Effect in Associative Classification Mining

Fadi A. Thabtah, 2006, J. Inf. Knowl. Manag..

An assessment of features related to phishing websites using an automated technique

T. L. McCluskey, Fadi A. Thabtah, Rami Mustafa A. Mohammad, 2012, 2012 International Conference for Internet Technology and Secured Transactions.

Parallel Associative Classification Data Mining Frameworks Based MapReduce

Fadi A. Thabtah, Hussein Abdel-jaber, Suhel Hammoud, 2015, Parallel Process. Lett..

Performance evaluation for DRED discrete-time queueing network analytical model

Fadi A. Thabtah, Hussein Abdel-jaber, Michael E. Woodward, 2008, J. Netw. Comput. Appl..

Arabic Text Mining Using Rule Based Classification

Fadi A. Thabtah, Rashid Al-Zubaidy, Omar Gharaibeh, 2012, J. Inf. Knowl. Manag..

Performance Analysis of the Proposed Adaptive Gentle Random Early Detection Method under NonCongestion and Congestion Situations

Fadi A. Thabtah, Mahmoud Baklizi, Hussein Abdel-jaber, 2011, DEIS.

The correlation of everyday cognition test scores and the progression of Alzheimer’s disease: a data analytics study

Fadi A. Thabtah, Robinson Spencer, Yongsheng Ye, 2020, Health Information Science and Systems.

Tutorial and critical analysis of phishing websites methods

T. L. McCluskey, Fadi A. Thabtah, Rami Mustafa A. Mohammad, 2015, Comput. Sci. Rev..

An Evolutionary Multi Label Classification using Associative Rule Mining for Spatial Preferences

Sung-Bae Cho, Fadi A. Thabtah, Yonghong Peng, 2011 .