Fadi A. Thabtah

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 35

Top Topics

Systematic Review

Associative Classification

Feature Selection

Top Venues

J. Inf. Knowl. Manag.

Health Inf. Sci. Syst.

Comput. Sci. Rev.

Health Informatics J.

Publications

Thomas Bailey, Fadi A. Thabtah, Marcus Wright, Duy Anh Tran
FoodKnight: a mobile educational game and analyses for obesity awareness of children. Int. J. Medical Eng. Informatics 16 (2) (2024)
Sapphira Chan, Fadi A. Thabtah, Hussein Abdel-jaber, Franco Guerrero
Autism detection for toddlers from behavioural indicators using classification techniques. Intell. Decis. Technol. 16 (3) (2022)
Fadi A. Thabtah, Arun J. Padmavathy, Thanh Trung Thai, Daymond Goulder-Horobin
A self-management mobile application system for patients with mild cognitive impairment and mild dementia. Int. J. Wirel. Mob. Comput. 23 (2) (2022)
Said Baadel, Fadi A. Thabtah, Joan Lu, Saida Harguem
OMCOKE: A Machine Learning Outlier-based Overlapping Clustering Technique for Multi-Label Data Analysi s. Informatica (Slovenia) 46 (4) (2022)
Thanu Dayara, Fadi A. Thabtah, Hussein Abdel-jaber, Susan Zeidan
Crime Analyses Using Data Analytics. Int. J. Data Warehous. Min. 18 (1) (2022)
Fadi A. Thabtah, Swan Ong, David Peebles
Detection of dementia progression from functional activities data using machine learning techniques. Intell. Decis. Technol. 16 (3) (2022)
Fadi A. Thabtah, Robinson Spencer, Neda Abdelhamid, Firuz Kamalov, Carl Wentzel, Yongsheng Ye, Thanu Dayara
Autism screening: an unsupervised machine learning approach. Health Inf. Sci. Syst. 10 (1) (2022)
Said Baadel, Fadi A. Thabtah, Joan Lu
Cybersecurity Awareness: A Critical Analysis of Education and Law Enforcement Methods. Informatica (Slovenia) 45 (3) (2021)
Firuz Kamalov, Aswani Cherukuri, Hana Sulieman, Fadi A. Thabtah, Akbar Hossain
Machine learning applications for COVID-19: A state-of-the-art review. CoRR (2021)
Fadi A. Thabtah, Ella T. Mampusti, David Peebles, Raymund Herradura, Jithin Varghese
A Mobile-Based Screening System for Data Analyses of Early Dementia Traits Detection. J. Medical Syst. 44 (1) (2020)
Seyed Reza Shahamiri, Fadi A. Thabtah
An investigation towards speaker identification using a single-sound-frame. Multim. Tools Appl. 79 (41-42) (2020)
Fadi A. Thabtah, Suhel Hammoud, Firuz Kamalov, Amanda H. Gonsalves
Data imbalance in classification: Experimental evaluation. Inf. Sci. 513 (2020)
Fadi A. Thabtah, Robinson Spencer, Yongsheng Ye
The correlation of everyday cognition test scores and the progression of Alzheimer's disease: a data analytics study. Health Inf. Sci. Syst. 8 (1) (2020)
Fadi A. Thabtah, David Peebles
A new machine learning model based on induction of rules for autism detection. Health Informatics J. 26 (1) (2020)
Seyed Reza Shahamiri, Fadi A. Thabtah
Autism AI: a New Autism Screening System Based on Artificial Intelligence. Cogn. Comput. 12 (4) (2020)
Fadi A. Thabtah, David Peebles, Jenny Retzler, Chanchala Hathurusingha
Dementia medical screening using mobile applications: A systematic review with a new mapping model. J. Biomed. Informatics 111 (2020)
Fadi A. Thabtah, Firuz Kamalov, Suhel Hammoud, Seyed Reza Shahamiri
Least Loss: A simplified filter method for feature selection. Inf. Sci. 534 (2020)
Marianne Cherrington, Joan Lu, David Airehrour, Fadi A. Thabtah, Qiang Xu, Samaneh Madanian
Feature Selection: Multi-source and Multi-view Data Limitations, Capabilities and Potentials. ITNAC (2019)
Paul Town, Fadi A. Thabtah
Data Analytics Tools: A User Perspective. J. Inf. Knowl. Manag. 18 (1) (2019)
Fadi A. Thabtah, Neda Abdelhamid, David Peebles
A machine learning autism classification based on logistic regression analysis. Health Inf. Sci. Syst. 7 (1) (2019)
Amanda H. Gonsalves, Fadi A. Thabtah, Rami Mustafa A. Mohammad, Gurpreet Singh
Prediction of Coronary Heart Disease using Machine Learning: An Experimental Analysis. ICDLT (2019)
Fadi A. Thabtah
Preface to the Special Issue on Data Analytics. J. Inf. Knowl. Manag. 18 (1) (2019)
Fadi A. Thabtah
An accessible and efficient autism screening method for behavioural data and predictive analyses. Health Informatics J. 25 (4) (2019)
Raymund Herradura, Fadi A. Thabtah, M. Andrews
Trend Analyses for Blockchain Technology Innovations Using Data Analytics. ISCSIC (2019)
Mohamed Salem Almnnaee, Fadi A. Thabtah, Joan Lu
An Improved Associative Classification Algorithm based on Incremental Rules. ISD (2018)
Rabah AlShboul, Fadi A. Thabtah, Neda Abdelhamid, Mofleh Al-Diabat
A visualization cybersecurity method based on features' dissimilarity. Comput. Secur. 77 (2018)
Fadi A. Thabtah, Firuz Kamalov, Khairan Rajab
A new computational intelligence approach to detect autistic features for autism screening. Int. J. Medical Informatics 117 (2018)
Issa Qabajeh, Fadi A. Thabtah, Francisco Chiclana
A recent review of conventional vs. automated cybersecurity anti-phishing techniques. Comput. Sci. Rev. 29 (2018)
Fadi A. Thabtah, Firuz Kamalov
Phishing Detection: A Case Analysis on Classifiers with Rules Using Machine Learning. J. Inf. Knowl. Manag. 16 (4) (2017)
Neda Abdelhamid, Fadi A. Thabtah, Hussein Abdel-jaber
Phishing detection: A recent intelligent machine learning comparison based on models content and features. ISI (2017)
Fadi A. Thabtah, Neda Abdelhamid
Deriving Correlated Sets of Website Features for Phishing Detection: A Computational Intelligence Approach. J. Inf. Knowl. Manag. 15 (4) (2016)
Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey
An Improved Self-Structuring Neural Network. PAKDD Workshops (2016)
Fadi A. Thabtah, Issa Qabajeh, Francisco Chiclana
Constrained dynamic rule induction learning. Expert Syst. Appl. 63 (2016)
Fadi A. Thabtah, Rami Mustafa A. Mohammad, Lee McCluskey
A dynamic self-structuring neural network model to combat phishing. IJCNN (2016)
Neda Abdelhamid, Ahmad Abdul Jabbar, Fadi A. Thabtah
Associative Classification Common Research Challenges. ICPP Workshops (2016)
Fadi A. Thabtah, Suhel Hammoud, Hussein Abdel-jaber
Parallel Associative Classification Data Mining Frameworks Based MapReduce. Parallel Process. Lett. 25 (2) (2015)
Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey
Tutorial and critical analysis of phishing websites methods. Comput. Sci. Rev. 17 (2015)
Issa Qabajeh, Francisco Chiclana, Fadi A. Thabtah
A classification rules mining method based on dynamic rules' frequency. AICCSA (2015)
Hussein Abdel-jaber, Fadi A. Thabtah, Mike E. Woodward
Modeling discrete-time analytical models based on random early detection: Exponential and linear. Int. J. Model. Simul. Sci. Comput. 6 (3) (2015)
Neda Abdelhamid, Fadi A. Thabtah
Associative Classification Approaches: Review and Comparison. J. Inf. Knowl. Manag. 13 (3) (2014)
Neda Abdelhamid, Aladdin Ayesh, Fadi A. Thabtah
Phishing detection based Associative Classification data mining. Expert Syst. Appl. 41 (13) (2014)
Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey
Predicting phishing websites based on self-structuring neural network. Neural Comput. Appl. 25 (2) (2014)
Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey
Intelligent rule-based phishing websites classification. IET Inf. Secur. 8 (3) (2014)
Fadi A. Thabtah, Suhel Hammoud
Mr-arm: a Map-Reduce Association Rule Mining Framework. Parallel Process. Lett. 23 (3) (2013)
Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey
An assessment of features related to phishing websites using an automated technique. ICITST (2012)
Fadi A. Thabtah, Omar Gharaibeh, Rashid Al-Zubaidy
Arabic Text Mining Using Rule Based Classification. J. Inf. Knowl. Manag. 11 (1) (2012)
Mofleh Al-Diabat, Hussein Abdel-jaber, Fadi A. Thabtah, Osman Abou-Rabia, Mahmoud Kishta
Analytical Models based discrete-Time Queueing for the Congested Network. Int. J. Model. Simul. Sci. Comput. 3 (1) (2012)
Neda Abdelhamid, Aladdin Ayesh, Fadi A. Thabtah, Samad Ahmadi, Wael Hadi
MAC: A Multiclass Associative Classification Algorithm. J. Inf. Knowl. Manag. 11 (2) (2012)
Neda Abdelhamid, Aladdin Ayesh, Fadi A. Thabtah
An experimental study of three different rule ranking formulas in associative classification. ICITST (2012)
Hussein Al-Bahadili, Jafar Ababneh, Fadi A. Thabtah
Analytical modeling of a multi-queue nodes network router. Int. J. Autom. Comput. 8 (4) (2011)
Hussein Abdel-jaber, Jafar Ababneh, Fadi A. Thabtah, Amjad M. Daoud, Mahmoud Baklizi
Performance Analysis of the Proposed Adaptive Gentle Random Early Detection Method under NonCongestion and Congestion Situations. DEIS (2011)
Fadi A. Thabtah, Wael Hadi, Neda Abdelhamid, Ayman Issa
Prediction Phase in Associative Classification Mining. Int. J. Softw. Eng. Knowl. Eng. 21 (6) (2011)
Maher Ragheb Aburrous, M. Alamgir Hossain, Keshav P. Dahal, Fadi A. Thabtah
Intelligent phishing detection system for e-banking using fuzzy data mining. Expert Syst. Appl. 37 (12) (2010)
Jafar Ababneh, Hussein Abdel-jaber, Fadi A. Thabtah, Wael Hadi, Emran Badarneh
Derivation of Three Queue Nodes Discrete-Time Analytical Model Based on DRED Algorithm. ITNG (2010)
Fadi A. Thabtah, Qazafi Mahmood, Lee McCluskey, Hussein Abdel-jaber
A New Classification Based on Association Algorithm. J. Inf. Knowl. Manag. 9 (1) (2010)
Maher Ragheb Aburrous, M. Alamgir Hossain, Keshav P. Dahal, Fadi A. Thabtah
Predicting Phishing Websites Using Classification Mining Techniques with Experimental Case Studies. ITNG (2010)
Maher Ragheb Aburrous, M. Alamgir Hossain, Keshav P. Dahal, Fadi A. Thabtah
Experimental Case Studies for Investigating E-Banking Phishing Techniques and Attack Strategies. Cogn. Comput. 2 (3) (2010)
Maher Ragheb Aburrous, M. Alamgir Hossain, Keshav P. Dahal, Fadi A. Thabtah
Modelling Intelligent Phishing Detection System for E-banking Using Fuzzy Data Mining. CW (2009)
Fadi A. Thabtah, Qazafi Mahmood, Lee McCluskey
Looking at the Class Associative Classification Training Algorithm. ITNG (2008)
Maher Ragheb Aburrous, M. Alamgir Hossain, Fadi A. Thabtah, Keshav P. Dahal
Intelligent Quality Performance Assessment for E-Banking Security using Fuzzy Logic. ITNG (2008)
Fadi A. Thabtah, Peter I. Cowling
Mining the data from a hyperheuristic approach using associative classification. Expert Syst. Appl. 34 (2) (2008)
Hussein Abdel-jaber, Michael E. Woodward, Fadi A. Thabtah, Amer Abu-Ali
Performance evaluation for DRED discrete-time queueing network analytical model. J. Netw. Comput. Appl. 31 (4) (2008)
Fadi A. Thabtah, Peter I. Cowling
A greedy classification algorithm based on association rule. Appl. Soft Comput. 7 (3) (2007)
Fadi A. Thabtah
A review of associative classification mining. Knowl. Eng. Rev. 22 (1) (2007)
Hussein Abdel-jaber, Michael E. Woodward, Fadi A. Thabtah, Mofleh Al-Diabat
Modelling BLUE Active Queue Management using Discrete-time Queue. World Congress on Engineering (2007)
Hussein Abdel-jaber, Michael E. Woodward, Fadi A. Thabtah, Mahmud Etbega
A Discrete-time Queue Analytical Model based on Dynamic Random Early Drop. ITNG (2007)
Wa'el Musa Hadi, Fadi A. Thabtah, Hussein Abdel-jaber
A Comparative Study using Vector Space Model with K-Nearest Neighbor on Text Categorization Data. World Congress on Engineering (2007)
Fadi A. Thabtah
Rule Preference Effect in Associative Classification Mining. J. Inf. Knowl. Manag. 5 (1) (2006)
Fadi A. Thabtah
Challenges and Interesting Research Directions in Associative Classification. ICDM Workshops (2006)
Fadi A. Thabtah, Peter I. Cowling, Suhel Hammoud
Improving rule sorting, predictive accuracy and training time in associative classification. Expert Syst. Appl. 31 (2) (2006)
Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng
The Impact of Rule Ranking on the Quality of Associative Classifiers. SGAI Conf. (2005)
Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng
A Study of Predictive Accuracy for Four Associative Classifiers. J. Digit. Inf. Manag. 3 (3) (2005)
Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng
MCAR: multi-class classification based on association rule. AICCSA (2005)
Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng
MMAC: A New Multi-Class, Multi-Label Associative Classification Approach. ICDM (2004)