Fadi A. Thabtah

Orcid: 0000-0002-2664-4694

Affiliations:
  • Manukau Institute of Technology, Auckland, New Zealand
  • Nelson Marlborough Institute of Technology, Auckland, New Zealand
  • Canadian University of Dubai, E-Business Department, United Arab Emirates
  • Philadelphia University, Department of Management Information Systems, Jordan
  • University of Huddersfield, Department of Psychology, UK


According to our database1, Fadi A. Thabtah authored at least 86 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Bibliography

2024
FoodKnight: a mobile educational game and analyses for obesity awareness of children.
Int. J. Medical Eng. Informatics, 2024

2023
Neuropsychological features evaluation of data related to Alzheimer's disease progression using feature selection.
Intell. Decis. Technol., 2023

2022
A machine learning architecture to detect Alzheimer's disease progression based on the evaluation of cognitive and functional attributes of neuropsychological assessments.
PhD thesis, 2022

Crime Analyses Using Data Analytics.
Int. J. Data Warehous. Min., 2022

OMCOKE: A Machine Learning Outlier-based Overlapping Clustering Technique for Multi-Label Data Analysi s.
Informatica (Slovenia), 2022

A self-management mobile application system for patients with mild cognitive impairment and mild dementia.
Int. J. Wirel. Mob. Comput., 2022

Detection of dementia progression from functional activities data using machine learning techniques.
Intell. Decis. Technol., 2022

Autism detection for toddlers from behavioural indicators using classification techniques.
Intell. Decis. Technol., 2022

Autism screening: an unsupervised machine learning approach.
Health Inf. Sci. Syst., 2022

2021
Cybersecurity Awareness: A Critical Analysis of Education and Law Enforcement Methods.
Informatica (Slovenia), 2021

Machine learning applications for COVID-19: A state-of-the-art review.
CoRR, 2021

2020
An investigation towards speaker identification using a single-sound-frame.
Multim. Tools Appl., 2020

A Mobile-Based Screening System for Data Analyses of Early Dementia Traits Detection.
J. Medical Syst., 2020

Chess Results Analysis Using Elo Measure with Machine Learning.
J. Inf. Knowl. Manag., 2020

Preface.
J. Inf. Knowl. Manag., 2020

Data Imbalance in Autism Pre-Diagnosis Classification Systems: An Experimental Study.
J. Inf. Knowl. Manag., 2020

Dementia medical screening using mobile applications: A systematic review with a new mapping model.
J. Biomed. Informatics, 2020

Least Loss: A simplified filter method for feature selection.
Inf. Sci., 2020

Data imbalance in classification: Experimental evaluation.
Inf. Sci., 2020

The correlation of everyday cognition test scores and the progression of Alzheimer's disease: a data analytics study.
Health Inf. Sci. Syst., 2020

A new machine learning model based on induction of rules for autism detection.
Health Informatics J., 2020

Autism AI: a New Autism Screening System Based on Artificial Intelligence.
Cogn. Comput., 2020

2019
Data Analytics Tools: A User Perspective.
J. Inf. Knowl. Manag., 2019

Preface to the Special Issue on Data Analytics.
J. Inf. Knowl. Manag., 2019

A machine learning autism classification based on logistic regression analysis.
Health Inf. Sci. Syst., 2019

An accessible and efficient autism screening method for behavioural data and predictive analyses.
Health Informatics J., 2019

Feature Selection: Multi-source and Multi-view Data Limitations, Capabilities and Potentials.
Proceedings of the 29th International Telecommunication Networks and Applications Conference, 2019

Trend Analyses for Blockchain Technology Innovations Using Data Analytics.
Proceedings of the ISCSIC 2019: 3rd International Symposium on Computer Science and Intelligent Control, 2019

Prediction of Coronary Heart Disease using Machine Learning: An Experimental Analysis.
Proceedings of the 2019 3rd International Conference on Deep Learning Technologies, 2019

2018
A new computational intelligence approach to detect autistic features for autism screening.
Int. J. Medical Informatics, 2018

A recent review of conventional vs. automated cybersecurity anti-phishing techniques.
Comput. Sci. Rev., 2018

A visualization cybersecurity method based on features' dissimilarity.
Comput. Secur., 2018

An Improved Associative Classification Algorithm based on Incremental Rules.
Proceedings of the Information Systems Development: Designing Digitalization, 2018

2017
Autistic Spectrum Disorder Screening Data for Children.
Dataset, December, 2017

Autism Screening Adult.
Dataset, December, 2017

Phishing Detection: A Case Analysis on Classifiers with Rules Using Machine Learning.
J. Inf. Knowl. Manag., 2017

Phishing detection: A recent intelligent machine learning comparison based on models content and features.
Proceedings of the 2017 IEEE International Conference on Intelligence and Security Informatics, 2017

Autism Spectrum Disorder Screening: Machine Learning Adaptation and DSM-5 Fulfillment.
Proceedings of the 1st International Conference on Medical and Health Informatics, 2017

2016
Deriving Correlated Sets of Website Features for Phishing Detection: A Computational Intelligence Approach.
J. Inf. Knowl. Manag., 2016

Constrained dynamic rule induction learning.
Expert Syst. Appl., 2016

An Improved Self-Structuring Neural Network.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

A dynamic self-structuring neural network model to combat phishing.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Associative Classification Common Research Challenges.
Proceedings of the 45th International Conference on Parallel Processing Workshops, 2016

2015
Parallel Associative Classification Data Mining Frameworks Based MapReduce.
Parallel Process. Lett., 2015

Modeling discrete-time analytical models based on random early detection: Exponential and linear.
Int. J. Model. Simul. Sci. Comput., 2015

Tutorial and critical analysis of phishing websites methods.
Comput. Sci. Rev., 2015

A classification rules mining method based on dynamic rules' frequency.
Proceedings of the 12th IEEE/ACS International Conference of Computer Systems and Applications, 2015

2014
Predicting phishing websites based on self-structuring neural network.
Neural Comput. Appl., 2014

Associative Classification Approaches: Review and Comparison.
J. Inf. Knowl. Manag., 2014

Intelligent rule-based phishing websites classification.
IET Inf. Secur., 2014

Phishing detection based Associative Classification data mining.
Expert Syst. Appl., 2014

2013
Mr-arm: a Map-Reduce Association Rule Mining Framework.
Parallel Process. Lett., 2013

2012
Arabic Text Mining Using Rule Based Classification.
J. Inf. Knowl. Manag., 2012

MAC: A Multiclass Associative Classification Algorithm.
J. Inf. Knowl. Manag., 2012

Analytical Models based discrete-Time Queueing for the Congested Network.
Int. J. Model. Simul. Sci. Comput., 2012

An assessment of features related to phishing websites using an automated technique.
Proceedings of the 7th International Conference for Internet Technology and Secured Transactions, 2012

An experimental study of three different rule ranking formulas in associative classification.
Proceedings of the 7th International Conference for Internet Technology and Secured Transactions, 2012

2011
Prediction Phase in Associative Classification Mining.
Int. J. Softw. Eng. Knowl. Eng., 2011

Analytical modeling of a multi-queue nodes network router.
Int. J. Autom. Comput., 2011

Performance Analysis of the Proposed Adaptive Gentle Random Early Detection Method under NonCongestion and Congestion Situations.
Proceedings of the Digital Enterprise and Information Systems - International Conference, 2011

2010
A New Classification Based on Association Algorithm.
J. Inf. Knowl. Manag., 2010

Intelligent phishing detection system for e-banking using fuzzy data mining.
Expert Syst. Appl., 2010

Experimental Case Studies for Investigating E-Banking Phishing Techniques and Attack Strategies.
Cogn. Comput., 2010

Predicting Phishing Websites Using Classification Mining Techniques with Experimental Case Studies.
Proceedings of the Seventh International Conference on Information Technology: New Generations, 2010

Derivation of Three Queue Nodes Discrete-Time Analytical Model Based on DRED Algorithm.
Proceedings of the Seventh International Conference on Information Technology: New Generations, 2010

2009
Modelling Intelligent Phishing Detection System for E-banking Using Fuzzy Data Mining.
Proceedings of the 2009 International Conference on CyberWorlds, 2009

Hamming Code for Compressing Audio Files.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2009

2008
Performance evaluation for DRED discrete-time queueing network analytical model.
J. Netw. Comput. Appl., 2008

Mining the data from a hyperheuristic approach using associative classification.
Expert Syst. Appl., 2008

Looking at the Class Associative Classification Training Algorithm.
Proceedings of the Fifth International Conference on Information Technology: New Generations (ITNG 2008), 2008

Intelligent Quality Performance Assessment for E-Banking Security using Fuzzy Logic.
Proceedings of the Fifth International Conference on Information Technology: New Generations (ITNG 2008), 2008

2007
A review of associative classification mining.
Knowl. Eng. Rev., 2007

A greedy classification algorithm based on association rule.
Appl. Soft Comput., 2007

A Comparative Study using Vector Space Model with K-Nearest Neighbor on Text Categorization Data.
Proceedings of the World Congress on Engineering, 2007

Modelling BLUE Active Queue Management using Discrete-time Queue.
Proceedings of the World Congress on Engineering, 2007

A Discrete-time Queue Analytical Model based on Dynamic Random Early Drop.
Proceedings of the Fourth International Conference on Information Technology: New Generations (ITNG 2007), 2007

2006
Multiple labels associative classification.
Knowl. Inf. Syst., 2006

Rule Preference Effect in Associative Classification Mining.
J. Inf. Knowl. Manag., 2006

Pruning Techniques in Associative Classification: Survey and Comparison.
J. Digit. Inf. Manag., 2006

Improving rule sorting, predictive accuracy and training time in associative classification.
Expert Syst. Appl., 2006

Ranked Multi-Label Rules Associative Classifier.
Proceedings of the Research and Development in Intelligent Systems XXIII, 2006

Challenges and Interesting Research Directions in Associative Classification.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
A Study of Predictive Accuracy for Four Associative Classifiers.
J. Digit. Inf. Manag., 2005

The Impact of Rule Ranking on the Quality of Associative Classifiers.
Proceedings of the Research and Development in Intelligent Systems XXII, 2005

MCAR: multi-class classification based on association rule.
Proceedings of the 2005 ACS / IEEE International Conference on Computer Systems and Applications (AICCSA 2005), 2005

2004
MMAC: A New Multi-Class, Multi-Label Associative Classification Approach.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004


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