Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFadi A. Thabtah
Fadi Abdeljaber Thabtah
Person information
- affiliation: Manukau Institute of Technology, Auckland, New Zealand
- affiliation: Nelson Marlborough Institute of Technology, Auckland, New Zealand
- affiliation: Canadian University of Dubai, E-Business Department, United Arab Emirates
- affiliation: Philadelphia University, Department of Management Information Systems, Jordan
- affiliation: University of Huddersfield, Department of Psychology, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j55]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): 139-149 (2024)- 2023
- [j54]Fadi A. Thabtah, Heba Mohammad, Yonggang Lu, Bo Zhang:
Neuropsychological features evaluation of data related to Alzheimer's disease progression using feature selection. Intell. Decis. Technol. 17(4): 1161-1178 (2023) - 2022
- [b1]Fadi A. Thabtah:
A machine learning architecture to detect Alzheimer's disease progression based on the evaluation of cognitive and functional attributes of neuropsychological assessments. University of Huddersfield, UK, 2022 - [j53]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): 26 (2022) - [j52]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): 589-599 (2022) - [j51]Fadi A. Thabtah, Swan Ong, David Peebles:
Detection of dementia progression from functional activities data using machine learning techniques. Intell. Decis. Technol. 16(3): 615-630 (2022) - [j50]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): 114-122 (2022) - [j49]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) - [j48]Thanu Dayara, Fadi A. Thabtah, Hussein Abdel-jaber, Susan Zeidan:
Crime Analyses Using Data Analytics. Int. J. Data Warehous. Min. 18(1): 1-15 (2022) - 2021
- [j47]Said Baadel, Fadi A. Thabtah, Joan Lu:
Cybersecurity Awareness: A Critical Analysis of Education and Law Enforcement Methods. Informatica (Slovenia) 45(3) (2021) - [i1]Firuz Kamalov, Aswani Kumar Cherukuri, Hana Sulieman, Fadi A. Thabtah, Akbar Hossain:
Machine learning applications for COVID-19: A state-of-the-art review. CoRR abs/2101.07824 (2021) - 2020
- [j46]Seyed Reza Shahamiri, Fadi A. Thabtah:
Autism AI: a New Autism Screening System Based on Artificial Intelligence. Cogn. Comput. 12(4): 766-777 (2020) - [j45]Fadi A. Thabtah, David Peebles:
A new machine learning model based on induction of rules for autism detection. Health Informatics J. 26(1) (2020) - [j44]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): 24 (2020) - [j43]Fadi A. Thabtah, Suhel Hammoud, Firuz Kamalov, Amanda H. Gonsalves:
Data imbalance in classification: Experimental evaluation. Inf. Sci. 513: 429-441 (2020) - [j42]Fadi A. Thabtah, Firuz Kamalov, Suhel Hammoud, Seyed Reza Shahamiri:
Least Loss: A simplified filter method for feature selection. Inf. Sci. 534: 1-15 (2020) - [j41]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: 103573 (2020) - [j40]Fadi A. Thabtah:
Preface. J. Inf. Knowl. Manag. 19(1): 2002001:1-2002001:2 (2020) - [j39]Neda Abdelhamid, Arun J. Padmavathy, David Peebles, Fadi A. Thabtah, Daymond Goulder-Horobin:
Data Imbalance in Autism Pre-Diagnosis Classification Systems: An Experimental Study. J. Inf. Knowl. Manag. 19(1): 2040014:1-2040014:16 (2020) - [j38]Fadi A. Thabtah, Arun J. Padmavathy, Andrew Pritchard:
Chess Results Analysis Using Elo Measure with Machine Learning. J. Inf. Knowl. Manag. 19(2): 2050006:1-2050006:15 (2020) - [j37]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): 24 (2020) - [j36]Seyed Reza Shahamiri, Fadi A. Thabtah:
An investigation towards speaker identification using a single-sound-frame. Multim. Tools Appl. 79(41-42): 31265-31281 (2020)
2010 – 2019
- 2019
- [j35]Fadi A. Thabtah:
An accessible and efficient autism screening method for behavioural data and predictive analyses. Health Informatics J. 25(4) (2019) - [j34]Fadi A. Thabtah, Neda Abdelhamid, David Peebles:
A machine learning autism classification based on logistic regression analysis. Health Inf. Sci. Syst. 7(1): 12 (2019) - [j33]Fadi A. Thabtah:
Preface to the Special Issue on Data Analytics. J. Inf. Knowl. Manag. 18(1): 1902001:1-1902001:2 (2019) - [j32]Paul Town, Fadi A. Thabtah:
Data Analytics Tools: A User Perspective. J. Inf. Knowl. Manag. 18(1): 1950002:1-1950002:16 (2019) - [c27]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: 51-56 - [c26]Raymund Herradura, Fadi A. Thabtah, M. Andrews:
Trend Analyses for Blockchain Technology Innovations Using Data Analytics. ISCSIC 2019: 48:1-48:6 - [c25]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: 1-6 - 2018
- [j31]Rabah AlShboul, Fadi A. Thabtah, Neda Abdelhamid, Mofleh Al-Diabat:
A visualization cybersecurity method based on features' dissimilarity. Comput. Secur. 77: 289-303 (2018) - [j30]Issa Qabajeh, Fadi A. Thabtah, Francisco Chiclana:
A recent review of conventional vs. automated cybersecurity anti-phishing techniques. Comput. Sci. Rev. 29: 44-55 (2018) - [j29]Fadi A. Thabtah, Firuz Kamalov, Khairan Rajab:
A new computational intelligence approach to detect autistic features for autism screening. Int. J. Medical Informatics 117: 112-124 (2018) - [c24]Mohamed Salem Almnnaee, Fadi A. Thabtah, Joan Lu:
An Improved Associative Classification Algorithm based on Incremental Rules. ISD 2018 - 2017
- [j28]Fadi A. Thabtah, Firuz Kamalov:
Phishing Detection: A Case Analysis on Classifiers with Rules Using Machine Learning. J. Inf. Knowl. Manag. 16(4): 1750034:1-1750034:16 (2017) - [c23]Fadi A. Thabtah:
Autism Spectrum Disorder Screening: Machine Learning Adaptation and DSM-5 Fulfillment. ICMHI 2017: 1-6 - [c22]Neda Abdelhamid, Fadi A. Thabtah, Hussein Abdel-jaber:
Phishing detection: A recent intelligent machine learning comparison based on models content and features. ISI 2017: 72-77 - [d2]Fadi A. Thabtah:
Autism Screening Adult. UCI Machine Learning Repository, 2017
- [d1]Fadi A. Thabtah:
Autistic Spectrum Disorder Screening Data for Children. UCI Machine Learning Repository, 2017 - 2016
- [j27]Fadi A. Thabtah, Issa Qabajeh, Francisco Chiclana:
Constrained dynamic rule induction learning. Expert Syst. Appl. 63: 74-85 (2016) - [j26]Fadi A. Thabtah, Neda Abdelhamid:
Deriving Correlated Sets of Website Features for Phishing Detection: A Computational Intelligence Approach. J. Inf. Knowl. Manag. 15(4): 1650042:1-1650042:17 (2016) - [c21]Neda Abdelhamid, Ahmad Abdul Jabbar, Fadi A. Thabtah:
Associative Classification Common Research Challenges. ICPP Workshops 2016: 432-437 - [c20]Fadi A. Thabtah, Rami Mustafa A. Mohammad, Lee McCluskey:
A dynamic self-structuring neural network model to combat phishing. IJCNN 2016: 4221-4226 - [c19]Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey:
An Improved Self-Structuring Neural Network. PAKDD Workshops 2016: 35-47 - 2015
- [j25]Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey:
Tutorial and critical analysis of phishing websites methods. Comput. Sci. Rev. 17: 1-24 (2015) - [j24]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): 1550028:1-1550028:22 (2015) - [j23]Fadi A. Thabtah, Suhel Hammoud, Hussein Abdel-jaber:
Parallel Associative Classification Data Mining Frameworks Based MapReduce. Parallel Process. Lett. 25(2): 1550002:1-1550002:39 (2015) - [c18]Issa Qabajeh, Francisco Chiclana, Fadi A. Thabtah:
A classification rules mining method based on dynamic rules' frequency. AICCSA 2015: 1-7 - 2014
- [j22]Neda Abdelhamid, Aladdin Ayesh, Fadi A. Thabtah:
Phishing detection based Associative Classification data mining. Expert Syst. Appl. 41(13): 5948-5959 (2014) - [j21]Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey:
Intelligent rule-based phishing websites classification. IET Inf. Secur. 8(3): 153-160 (2014) - [j20]Neda Abdelhamid, Fadi A. Thabtah:
Associative Classification Approaches: Review and Comparison. J. Inf. Knowl. Manag. 13(3) (2014) - [j19]Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey:
Predicting phishing websites based on self-structuring neural network. Neural Comput. Appl. 25(2): 443-458 (2014) - 2013
- [j18]Fadi A. Thabtah, Suhel Hammoud:
Mr-arm: a Map-Reduce Association Rule Mining Framework. Parallel Process. Lett. 23(3) (2013) - 2012
- [j17]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): 1150004 (2012) - [j16]Fadi A. Thabtah, Omar Gharaibeh, Rashid Al-Zubaidy:
Arabic Text Mining Using Rule Based Classification. J. Inf. Knowl. Manag. 11(1) (2012) - [j15]Neda Abdelhamid, Aladdin Ayesh, Fadi A. Thabtah, Samad Ahmadi, Wael Hadi:
MAC: A Multiclass Associative Classification Algorithm. J. Inf. Knowl. Manag. 11(2) (2012) - [c17]Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey:
An assessment of features related to phishing websites using an automated technique. ICITST 2012: 492-497 - [c16]Neda Abdelhamid, Aladdin Ayesh, Fadi A. Thabtah:
An experimental study of three different rule ranking formulas in associative classification. ICITST 2012: 795-800 - 2011
- [j14]Hussein Al-Bahadili, Jafar Ababneh, Fadi A. Thabtah:
Analytical modeling of a multi-queue nodes network router. Int. J. Autom. Comput. 8(4): 459-464 (2011) - [j13]Fadi A. Thabtah, Wael Hadi, Neda Abdelhamid, Ayman Issa:
Prediction Phase in Associative Classification Mining. Int. J. Softw. Eng. Knowl. Eng. 21(6): 855-876 (2011) - [c15]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: 592-603 - 2010
- [j12]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): 242-253 (2010) - [j11]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): 7913-7921 (2010) - [j10]Fadi A. Thabtah, Qazafi Mahmood, Lee McCluskey, Hussein Abdel-jaber:
A New Classification Based on Association Algorithm. J. Inf. Knowl. Manag. 9(1): 55-64 (2010) - [c14]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: 176-181 - [c13]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: 885-890
2000 – 2009
- 2009
- [c12]Mohammed Mahafzah, Ahmmad Sharieah, Fadi A. Thabtah:
Hamming Code for Compressing Audio Files. PDPTA 2009: 350-356 - [c11]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: 265-272 - 2008
- [j9]Fadi A. Thabtah, Peter I. Cowling:
Mining the data from a hyperheuristic approach using associative classification. Expert Syst. Appl. 34(2): 1093-1101 (2008) - [j8]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): 750-770 (2008) - [c10]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: 420-425 - [c9]Fadi A. Thabtah, Qazafi Mahmood, Lee McCluskey:
Looking at the Class Associative Classification Training Algorithm. ITNG 2008: 426-431 - 2007
- [j7]Fadi A. Thabtah, Peter I. Cowling:
A greedy classification algorithm based on association rule. Appl. Soft Comput. 7(3): 1102-1111 (2007) - [j6]Fadi A. Thabtah:
A review of associative classification mining. Knowl. Eng. Rev. 22(1): 37-65 (2007) - [c8]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: 71-76 - [c7]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: 296-300 - [c6]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: 568-573 - 2006
- [j5]Fadi A. Thabtah, Peter I. Cowling, Suhel Hammoud:
Improving rule sorting, predictive accuracy and training time in associative classification. Expert Syst. Appl. 31(2): 414-426 (2006) - [j4]Fadi A. Thabtah:
Pruning Techniques in Associative Classification: Survey and Comparison. J. Digit. Inf. Manag. 4(3): 197-202 (2006) - [j3]Fadi A. Thabtah:
Rule Preference Effect in Associative Classification Mining. J. Inf. Knowl. Manag. 5(1): 13-20 (2006) - [j2]Fadi Abdeljaber Thabtah, Peter I. Cowling, Yonghong Peng:
Multiple labels associative classification. Knowl. Inf. Syst. 9(1): 109-129 (2006) - [c5]Fadi A. Thabtah:
Challenges and Interesting Research Directions in Associative Classification. ICDM Workshops 2006: 785-792 - [c4]Fadi A. Thabtah:
Ranked Multi-Label Rules Associative Classifier. SGAI Conf. 2006: 87-100 - 2005
- [j1]Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng:
A Study of Predictive Accuracy for Four Associative Classifiers. J. Digit. Inf. Manag. 3(3): 205-208 (2005) - [c3]Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng:
MCAR: multi-class classification based on association rule. AICCSA 2005: 33 - [c2]Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng:
The Impact of Rule Ranking on the Quality of Associative Classifiers. SGAI Conf. 2005: 277-287 - 2004
- [c1]Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng:
MMAC: A New Multi-Class, Multi-Label Associative Classification Approach. ICDM 2004: 217-224
Coauthor Index
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-03-14 23:53 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
