Ghazi Al-Naymat

Orcid: 0000-0002-9661-5354

Affiliations:
  • Ajman University, UAE
  • Princess Sumaya University for Technology, Amman, Jordan (former)


According to our database1, Ghazi Al-Naymat authored at least 64 papers between 2007 and 2024.

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Bibliography

2024
Equilibrium optimizer: a comprehensive survey.
Multim. Tools Appl., March, 2024

Deep learning models for human age prediction to prevent, treat and extend life expectancy: DCPV taxonomy.
Multim. Tools Appl., January, 2024

2023
DFCV: a framework for evaluation deep learning in early detection and classification of lung cancer.
Multim. Tools Appl., November, 2023

Optimization of scientific publications clustering with ensemble approach for topic extraction.
Scientometrics, May, 2023

Bare-Bones Based Salp Swarm Algorithm for Text Document Clustering.
IEEE Access, 2023

HcLSH: A Novel Non-Linear Monotonic Activation Function for Deep Learning Methods.
IEEE Access, 2023

A Taxonomy for Car Accidents Predication Model Using Neural Networks.
Proceedings of the Second International Conference on Innovations in Computing Research (ICR'23), 2023

Emotion Recognition from Twitter Comments Using Deep Learning.
Proceedings of the 24th International Arab Conference on Information Technology, 2023

Sentiment Analysis of Remote Worker Tweets During COVID-19.
Proceedings of the 24th International Arab Conference on Information Technology, 2023

Self-Service Business Intelligence: Meeting User Needs in a Data-Rich World.
Proceedings of the 24th International Arab Conference on Information Technology, 2023

2022
Enhancing the prediction of type 2 diabetes mellitus using sparse balanced SVM.
Multim. Tools Appl., November, 2022

Towards an efficient big data management schema for IoT.
J. King Saud Univ. Comput. Inf. Sci., 2022

Novel Positive Multi-Layer Graph Based Method for Collaborative Filtering Recommender Systems.
J. Comput. Sci. Technol., 2022

Anonymous Yet Alike: A Privacy-Preserving DeepProfile Clustering for Mobile Usage Patterns.
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2022

MR-VDENCLUE: Varying Density Clustering Using MapReduce.
Proceedings of the Intelligent Systems and Applications, 2022

2021
DDV: A Taxonomy for Deep Learning Methods in Detecting Prostate Cancer.
Neural Process. Lett., 2021

DPV: a taxonomy for utilizing deep learning as a prediction technique for various types of cancers detection.
Multim. Tools Appl., 2021

A framework to capture the dependency between prerequisite and advanced courses in higher education.
J. Comput. High. Educ., 2021

Novel predictive model to improve the accuracy of collaborative filtering recommender systems.
Inf. Syst., 2021

Accurate detection of network anomalies within SNMP-MIB data set using deep learning.
Int. J. Comput. Appl. Technol., 2021

Internet of things data compression based on successive data grouping.
Turkish J. Electr. Eng. Comput. Sci., 2021

Density-based Algorithms for Big Data Clustering Using MapReduce Framework: A Comprehensive Study.
ACM Comput. Surv., 2021

Selective Windows Autoregressive Model for Temporal IoT Forecasting.
Proceedings of the Intelligent Systems and Applications, 2021

An Effective Algorithm for Extracting Maximal Bipartite Cliques.
Proceedings of the DATA'21: International Conference on Data Science, 2021

2020
Arabic real time entity resolution using inverted indexing.
Lang. Resour. Evaluation, 2020

Discovery of arbitrary-shapes clusters using DENCLUE algorithm.
Int. Arab J. Inf. Technol., 2020

Default prediction model: the significant role of data engineering in the quality of outcomes.
Int. Arab J. Inf. Technol., 2020

Big Data Clustering Using MapReduce Framework: A Review.
Proceedings of the Intelligent Systems and Applications, 2020

VDENCLUE: An Enhanced Variant of DENCLUE Algorithm.
Proceedings of the Intelligent Systems and Applications, 2020

A Novel Method to Verify the Search Results of Database Queries on Cloud Computing.
Proceedings of the 21st International Arab Conference on Information Technology, 2020

2019
The impact of natural language preprocessing on big data sentiment analysis.
Int. Arab J. Inf. Technol., 2019

Evaluating the Impact of Feature Selection Methods on SNMP-MIB Interface Parameters to Accurately Detect Network Anomalies.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2019

An overview of various enhancements of DENCLUE algorithm.
Proceedings of the Second International Conference on Data Science, 2019

Performance Comparison of Two Algorithms for Arbitrary Shapes Clustering.
Proceedings of the International Arab Conference on Information Technology, 2019

Loan Default Prediction Model Improvement through Comprehensive Preprocessing and Features Selection.
Proceedings of the International Arab Conference on Information Technology, 2019

2018
Using machine learning methods for detecting network anomalies within SNMP-MIB dataset.
Int. J. Wirel. Mob. Comput., 2018

HDFS file operation fingerprints for forensic investigations.
Digit. Investig., 2018

Exploiting SNMP-MIB Data to Detect Network Anomalies Using Machine Learning Techniques.
Proceedings of the Intelligent Systems and Applications, 2018

Sentiment Analysis Based on MapReduce: A survey.
Proceedings of the 10th International Conference on Advances in Information Technology, 2018

Hybrid Technique for Arrival Rate Extraction and Size Reduction using Singular Spectrum Analysis and Fourier Series.
Proceedings of the 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2018) / The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops, 2018

Predicting Hospital Readmission among Diabetics using Deep Learning.
Proceedings of the 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2018) / The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops, 2018

A Large-Scale Sentiment Data Classification for Online Reviews Under Apache Spark.
Proceedings of the 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2018) / The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops, 2018

The Effects of Natural Language Processing on Big Data Analysis: Sentiment Analysis Case Study.
Proceedings of the International Arab Conference on Information Technology, 2018

2017
An Empirical Evaluation of Intelligent Machine Learning Algorithms under Big Data Processing Systems.
Proceedings of the 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2017) / The 7th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2017) / Affiliated Workshops, 2017

SMS Spam Detection using H2O Framework.
Proceedings of the 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2017) / The 7th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2017) / Affiliated Workshops, 2017

The Impact of applying Different Preprocessing Steps on Review Spam Detection.
Proceedings of the 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2017) / The 7th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2017) / Affiliated Workshops, 2017

Evaluation of classification algorithms for banking customer's behavior under Apache Spark Data Processing System.
Proceedings of the 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2017) / The 7th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2017) / Affiliated Workshops, 2017

Spotting the Islamist Radical within: Religious Extremists Profiling in the United State.
Proceedings of the 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2017) / The 7th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2017) / Affiliated Workshops, 2017

Using Transliteration with Entity Resolution for Arabic Datasets.
Proceedings of the 14th IEEE/ACS International Conference on Computer Systems and Applications, 2017

2015
Mitigating the influence of the curse of dimensionality on time series similarity measures.
Int. J. Comput. Appl. Technol., 2015

2013
Performance analysis of mixed polling schemes with multiple classes of self-similar traffic input to build comprehensive SLAs.
Proceedings of the 38th Annual IEEE Conference on Local Computer Networks, Sydney, Australia, October 21-24, 2013, 2013

GCG: Mining maximal complete graph patterns from large spatial data.
Proceedings of the ACS International Conference on Computer Systems and Applications, 2013

2011
An Overview of Graph Indexing and Querying Techniques.
Proceedings of the Graph Data Management: Techniques and Applications., 2011

2010
Efficient Relational Techniques for Processing Graph Queries.
J. Comput. Sci. Technol., 2010

Graph indexing and querying: a review.
Int. J. Web Inf. Syst., 2010

An efficient features-based processing technique for supergraph queries.
Proceedings of the Fourteenth International Database Engineering and Applications Symposium (IDEAS 2010), 2010

Data Mining and Discovery of Astronomical Knowledge.
Proceedings of the Scientific Data Mining and Knowledge Discovery, 2010

2009
New Methods for Mining Sequential and Time Series Data.
PhD thesis, 2009

Relational processing of RDF queries: a survey.
SIGMOD Rec., 2009

SparseDTW: A Novel Approach to Speed up Dynamic Time Warping.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

2008
Effects of dimensionality reduction techniques on time series similarity measurements.
Proceedings of the 6th ACS/IEEE International Conference on Computer Systems and Applications, 2008

Enumeration of maximal clique for mining spatial co-location patterns.
Proceedings of the 6th ACS/IEEE International Conference on Computer Systems and Applications, 2008

2007
Dimensionality reduction for long duration and complex spatio-temporal queries.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

Fast Mining of Complex Spatial Co-location Patterns Using GLIMIT.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007


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