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ORCIDGhazi Al-Naymat
Person information
- affiliation: Ajman University, UAE
- affiliation (former): Princess Sumaya University for Technology, Amman, Jordan
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2020 – today
- 2024
[j26]Abeer Alsadoon
, Ghazi Al-Naymat, Md. Rafiqul Islam:
Deep learning models for human age prediction to prevent, treat and extend life expectancy: DCPV taxonomy. Multim. Tools Appl. 83(2): 4825-4857 (2024)- [j25]Mohammed Azmi Al-Betar, Iyad Abu Doush, Sharif Naser Makhadmeh, Ghazi Al-Naymat, Osama Ahmad Alomari, Mohammed A. Awadallah:
Equilibrium optimizer: a comprehensive survey. Multim. Tools Appl. 83(10): 29617-29666 (2024) - 2023
- [j24]Heba Abdel-Nabi, Ghazi Al-Naymat, Mostafa Z. Ali, Arafat Awajan:
HcLSH: A Novel Non-Linear Monotonic Activation Function for Deep Learning Methods. IEEE Access 11: 47794-47815 (2023) - [j23]Mohammed Azmi Al-Betar, Ammar Kamal Abasi, Ghazi Al-Naymat, Kamran Arshad, Sharif Naser Makhadmeh:
Bare-Bones Based Salp Swarm Algorithm for Text Document Clustering. IEEE Access 11: 100010-100028 (2023) - [j22]Abeer Alsadoon, Ghazi Al-Naymat, Ahmed Hamza Osman, Belal Alsinglawi, Majdi Maabreh, Md. Rafiqul Islam:
DFCV: a framework for evaluation deep learning in early detection and classification of lung cancer. Multim. Tools Appl. 82(28): 44387-44430 (2023) - [j21]Mohammed Azmi Al-Betar, Ammar Kamal Abasi, Ghazi Al-Naymat, Kamran Arshad, Sharif Naser Makhadmeh:
Optimization of scientific publications clustering with ensemble approach for topic extraction. Scientometrics 128(5): 2819-2877 (2023) - [c35]Mahganj Durra, Ghazi Al-Naymat:
Self-Service Business Intelligence: Meeting User Needs in a Data-Rich World. ACIT 2023: 1-6 - [c34]Naima Hussein, Ghazi Al-Naymat:
Sentiment Analysis of Remote Worker Tweets During COVID-19. ACIT 2023: 1-6 - [c33]Khaled Hossam Mahfouz, Ghazi Al-Naymat:
Emotion Recognition from Twitter Comments Using Deep Learning. ACIT 2023: 1-5 - [c32]Ghazi Al-Naymat, Qurat ul Ain Nizamani, Shaymaa Ismail Ali, Anchal Shrestha, Hanspreet Kaur:
A Taxonomy for Car Accidents Predication Model Using Neural Networks. ICR 2023: 52-63 - 2022
- [j20]Bushra Alhijawi, Ghazi Al-Naymat:
Novel Positive Multi-Layer Graph Based Method for Collaborative Filtering Recommender Systems. J. Comput. Sci. Technol. 37(4): 975-990 (2022) - [j19]Samer Sawalha, Ghazi Al-Naymat:
Towards an efficient big data management schema for IoT. J. King Saud Univ. Comput. Inf. Sci. 34(9): 7803-7818 (2022) - [j18]Bibek Shrestha, Abeer Alsadoon, P. W. C. Prasad, Ghazi Al-Naymat, Thair Al-Dala'in, Tarik A. Rashid, Omar Hisham Alsadoon:
Enhancing the prediction of type 2 diabetes mellitus using sparse balanced SVM. Multim. Tools Appl. 81(27): 38945-38969 (2022) - [c31]Ghazi Al-Naymat, Mariam Khader, Mohammed Azmi Al-Betar, Raghda Fawzey Hriez, Ali Hadi:
MR-VDENCLUE: Varying Density Clustering Using MapReduce. IntelliSys (1) 2022: 771-788 - [c30]Cheuk Yee Cheryl Leung, Basem Suleiman, Muhammad Johan Alibasa, Ghazi Al-Naymat:
Anonymous Yet Alike: A Privacy-Preserving DeepProfile Clustering for Mobile Usage Patterns. MobiQuitous 2022: 81-100 - 2021
- [j17]Mariam Khader, Ghazi Al-Naymat:
Density-based Algorithms for Big Data Clustering Using MapReduce Framework: A Comprehensive Study. ACM Comput. Surv. 53(5): 93:1-93:38 (2021) - [j16]Samer Sawalha, Ghazi Al-Naymat:
Internet of things data compression based on successive data grouping. Turkish J. Electr. Eng. Comput. Sci. 29(1): 32-45 (2021) - [j15]Ghazi Al-Naymat, Hanan Hussain, Mouhammd Al-Kasassbeh, Nidal Al-Dmour:
Accurate detection of network anomalies within SNMP-MIB data set using deep learning. Int. J. Comput. Appl. Technol. 66(1): 74-85 (2021) - [j14]Bushra Alhijawi, Ghazi Al-Naymat, Nadim Obeid, Arafat Awajan:
Novel predictive model to improve the accuracy of collaborative filtering recommender systems. Inf. Syst. 96: 101670 (2021) - [j13]Raghda Fawzey Hriez, Ghazi Al-Naymat:
A framework to capture the dependency between prerequisite and advanced courses in higher education. J. Comput. High. Educ. 33(3): 807-844 (2021) - [j12]Bhagyashree Shah, Abeer Alsadoon, P. W. C. Prasad, Ghazi Al-Naymat, Azam Beg:
DPV: a taxonomy for utilizing deep learning as a prediction technique for various types of cancers detection. Multim. Tools Appl. 80(14): 21339-21361 (2021) - [j11]Abeer Alsadoon, Ghazi Al-Naymat, Omar Hisham Alsadoon, P. W. C. Prasad:
DDV: A Taxonomy for Deep Learning Methods in Detecting Prostate Cancer. Neural Process. Lett. 53(4): 2665-2685 (2021) - [c29]Raghda Fawzey Hriez, Ghazi Al-Naymat, Arafat Awajan:
An Effective Algorithm for Extracting Maximal Bipartite Cliques. DATA 2021: 76-81 - [c28]Samer Sawalha, Ghazi Al-Naymat, Arafat Awajan:
Selective Windows Autoregressive Model for Temporal IoT Forecasting. IntelliSys (2) 2021: 648-657 - 2020
- [j10]Mariam Khader, Ghazi Al-Naymat:
Discovery of arbitrary-shapes clusters using DENCLUE algorithm. Int. Arab J. Inf. Technol. 17(4A): 629-634 (2020) - [j9]Ahmad Al-Qerem, Ghazi Al-Naymat, Mays Alhasan, Mutaz M. Al-Debei:
Default prediction model: the significant role of data engineering in the quality of outcomes. Int. Arab J. Inf. Technol. 17(4A): 635-644 (2020) - [j8]Marwah Alian, Ghazi Al-Naymat, Banda Ramadan:
Arabic real time entity resolution using inverted indexing. Lang. Resour. Evaluation 54(4): 921-941 (2020) - [c27]Safaa Hraiz, Ghazi Al-Naymat, Arafat Awajan:
A Novel Method to Verify the Search Results of Database Queries on Cloud Computing. ACIT 2020: 1-7 - [c26]Mariam S. Khader, Ghazi Al-Naymat:
VDENCLUE: An Enhanced Variant of DENCLUE Algorithm. IntelliSys (2) 2020: 425-436 - [c25]Mariam S. Khader, Ghazi Al-Naymat:
Big Data Clustering Using MapReduce Framework: A Review. IntelliSys (2) 2020: 575-593
2010 – 2019
- 2019
- [j7]Mariam Khader, Arafat Awajan, Ghazi Al-Naymat:
The impact of natural language preprocessing on big data sentiment analysis. Int. Arab J. Inf. Technol. 16(3A): 506-513 (2019) - [c24]Mariam Khader, Ghazi Al-Naymat:
Performance Comparison of Two Algorithms for Arbitrary Shapes Clustering. ACIT 2019: 20-26 - [c23]Ahmad Al-Qerem, Ghazi Al-Naymat, Mays Alhasan:
Loan Default Prediction Model Improvement through Comprehensive Preprocessing and Features Selection. ACIT 2019: 235-240 - [c22]Mariam Khader, Ghazi Al-Naymat:
An overview of various enhancements of DENCLUE algorithm. DATA 2019: 33:1-33:7 - [c21]Ghazi Al-Naymat, Ahmed Hambouz, Mouhammd Al-Kasassbeh:
Evaluating the Impact of Feature Selection Methods on SNMP-MIB Interface Parameters to Accurately Detect Network Anomalies. ISSPIT 2019: 1-6 - 2018
- [j6]Mariam Khader, Ali Hadi, Ghazi Al-Naymat:
HDFS file operation fingerprints for forensic investigations. Digit. Investig. 24: 50-61 (2018) - [j5]Ghazi Al-Naymat, Mouhammd Al-Kasassbeh, Eshraq Al-Hawari:
Using machine learning methods for detecting network anomalies within SNMP-MIB dataset. Int. J. Wirel. Mob. Comput. 15(1): 67-76 (2018) - [c20]Mariam Khader, Arafat Awajan, Ghazi Al-Naymat:
The Effects of Natural Language Processing on Big Data Analysis: Sentiment Analysis Case Study. ACIT 2018: 1-7 - [c19]Ahmad Hammoudeh, Mohammad Al Saaideh, Ghazi Al-Naymat:
Hybrid Technique for Arrival Rate Extraction and Size Reduction using Singular Spectrum Analysis and Fourier Series. EUSPN/ICTH 2018: 96-103 - [c18]Samar Al-Saqqa, Ghazi Al-Naymat, Arafat Awajan:
A Large-Scale Sentiment Data Classification for Online Reviews Under Apache Spark. EUSPN/ICTH 2018: 183-189 - [c17]Ahmad Hammoudeh, Ghazi Al-Naymat, Ibrahim Ghannam, Nadim Obied:
Predicting Hospital Readmission among Diabetics using Deep Learning. EUSPN/ICTH 2018: 484-489 - [c16]Mariam Khader, Arafat Awajan, Ghazi Al-Naymat:
Sentiment Analysis Based on MapReduce: A survey. IAIT 2018: 11:1-11:8 - [c15]Ghazi Al-Naymat, Mouhammd Al-Kasassbeh, Eshraq Al-Hawari:
Exploiting SNMP-MIB Data to Detect Network Anomalies Using Machine Learning Techniques. IntelliSys (2) 2018: 991-1004 - [i3]Ghazi Al-Naymat, Mouhammd Al-Kasassbeh, Eshraq Al-Hawari:
Exploiting SNMP-MIB Data to Detect Network Anomalies using Machine Learning Techniques. CoRR abs/1809.02611 (2018) - 2017
- [c14]Marwah Alian, Ghazi Al-Naymat, Banda Ramadan:
Using Transliteration with Entity Resolution for Arabic Datasets. AICCSA 2017: 593-597 - [c13]Dima Suleiman, Ghazi Al-Naymat:
SMS Spam Detection using H2O Framework. EUSPN/ICTH 2017: 154-161 - [c12]Malek Al-Zewairi, Ghazi Naymat:
Spotting the Islamist Radical within: Religious Extremists Profiling in the United State. EUSPN/ICTH 2017: 162-169 - [c11]Wael Etaiwi, Ghazi Naymat:
The Impact of applying Different Preprocessing Steps on Review Spam Detection. EUSPN/ICTH 2017: 273-279 - [c10]Dima Suleiman, Malek Al-Zewairi, Ghazi Naymat:
An Empirical Evaluation of Intelligent Machine Learning Algorithms under Big Data Processing Systems. EUSPN/ICTH 2017: 539-544 - [c9]Wael Etaiwi, Mariam M. Biltawi, Ghazi Naymat:
Evaluation of classification algorithms for banking customer's behavior under Apache Spark Data Processing System. EUSPN/ICTH 2017: 559-564 - 2015
- [j4]Ghazi Al-Naymat:
Mitigating the influence of the curse of dimensionality on time series similarity measures. Int. J. Comput. Appl. Technol. 52(1): 94-105 (2015) - 2013
- [c8]Ghazi Al-Naymat:
GCG: Mining maximal complete graph patterns from large spatial data. AICCSA 2013: 1-8 - [c7]Mohsin Iftikhar, Muhammad Imran, Ghazi Al-Naymat, Mohammed Abdullah Alnuem, Hassan Mathkour:
Performance analysis of mixed polling schemes with multiple classes of self-similar traffic input to build comprehensive SLAs. LCN Workshops 2013: 994-1000 - [i2]Ghazi Al-Naymat:
GCG: Mining Maximal Complete Graph Patterns from Large Spatial Data. CoRR abs/1312.4477 (2013) - 2012
- [i1]Ghazi Al-Naymat, Sanjay Chawla, Javid Taheri:
SparseDTW: A Novel Approach to Speed up Dynamic Time Warping. CoRR abs/1201.2969 (2012) - 2011
- [p2]Sherif Sakr, Ghazi Al-Naymat:
An Overview of Graph Indexing and Querying Techniques. Graph Data Management 2011: 71-88 - 2010
- [j3]Sherif Sakr, Ghazi Al-Naymat:
Graph indexing and querying: a review. Int. J. Web Inf. Syst. 6(2): 101-120 (2010) - [j2]Sherif Sakr, Ghazi Al-Naymat:
Efficient Relational Techniques for Processing Graph Queries. J. Comput. Sci. Technol. 25(6): 1237-1255 (2010) - [c6]Sherif Sakr, Ghazi Al-Naymat:
An efficient features-based processing technique for supergraph queries. IDEAS 2010: 42-51 - [p1]Ghazi Al-Naymat:
Data Mining and Discovery of Astronomical Knowledge. Scientific Data Mining and Knowledge Discovery 2010: 319-341
2000 – 2009
- 2009
- [b1]Ghazi Al-Naymat:
New Methods for Mining Sequential and Time Series Data. University of Sydney, Australia, 2009 - [j1]Sherif Sakr, Ghazi Al-Naymat:
Relational processing of RDF queries: a survey. SIGMOD Rec. 38(4): 23-28 (2009) - [c5]Ghazi Al-Naymat, Sanjay Chawla, Javid Taheri:
SparseDTW: A Novel Approach to Speed up Dynamic Time Warping. AusDM 2009: 117-128 - 2008
- [c4]Ghazi Al-Naymat:
Enumeration of maximal clique for mining spatial co-location patterns. AICCSA 2008: 126-133 - [c3]Ghazi Al-Naymat, Javid Taheri:
Effects of dimensionality reduction techniques on time series similarity measurements. AICCSA 2008: 188-195 - 2007
- [c2]Florian Verhein, Ghazi Al-Naymat:
Fast Mining of Complex Spatial Co-location Patterns Using GLIMIT. ICDM Workshops 2007: 679-684 - [c1]Ghazi Al-Naymat, Sanjay Chawla, Joachim Gudmundsson:
Dimensionality reduction for long duration and complex spatio-temporal queries. SAC 2007: 393-397
Coauthor Index
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last updated on 2024-04-25 05:50 CEST by the dblp team
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