Ghazi Al-Naymat
Ghazi Al-Naymat
Ajman University
Verified email at - Homepage
Cited by
Cited by
Detecting Distributed Denial of Service Attacks Using Data Mining Techniques
M Alkasassbeh, G Al-Naymat, ABA Hassanat, M Almseidin
International Journal of Advanced Computer Science & Applications 7 (1), 436-445, 2016
Sparsedtw: A novel approach to speed up dynamic time warping
G Al-Naymat, S Chawla, J Taheri
arXiv preprint arXiv:1201.2969, 2012
Relational processing of RDF queries: a survey
S Sakr, G Al-Naymat
ACM Sigmod Record 38 (4), 23-28, 2010
The impact of applying different preprocessing steps on review spam detection
W Etaiwi, G Naymat
Procedia computer science 113, 273-279, 2017
Scientific data mining and knowledge discovery
MM Gaber
Springer, 2009
Towards generating realistic SNMP-MIB dataset for network anomaly detection
M Al-Kasassbeh, G Al-Naymat, E Al-Hawari
International Journal of Computer Science and Information Security 14 (9), 1162, 2016
Graph data management: techniques and applications
S Sakr, E Pardede
Information Science Reference-Imprint of: IGI Publishing, 2011
Predicting hospital readmission among diabetics using deep learning
A Hammoudeh, G Al-Naymat, I Ghannam, N Obied
Procedia Computer Science 141, 484-489, 2018
Graph indexing and querying: a review
S Sakr, G Al‐Naymat
International Journal of Web Information Systems 6 (2), 101-120, 2010
Dimensionality reduction for long duration and complex spatio-temporal queries
G Al-Naymat, S Chawla, J Gudmundsson
Proceedings of the 2007 ACM symposium on Applied computing, 393-397, 2007
Novel predictive model to improve the accuracy of collaborative filtering recommender systems
B Alhijawi, G Al-Naymat, N Obeid, A Awajan
Information Systems 96, 101670, 2021
A large-scale sentiment data classification for online reviews under apache spark
S Al-Saqqa, G Al-Naymat, A Awajan
Procedia Computer Science 141, 183-189, 2018
SMS spam detection using H2O framework
D Suleiman, G Al-Naymat
Procedia computer science 113, 154-161, 2017
Using machine learning methods for detecting network anomalies within SNMP-MIB dataset
G Al-Naymat, M Al- kasassbeh, E Al-Hawari
Int. J. Wireless and Mobile Computing 15 (1), 67-76, 2018
The Effects of Natural Language Processing on Big Data Analysis: Sentiment Analysis Case Study
M Khader, A Awajan, G Al-Naymat
ACIT 2018 - 19th International Arab Conference on Information Technology, 1-7., 2018
Evaluation of classification algorithms for banking customer’s behavior under Apache Spark Data Processing System
W Etaiwi, M Biltawi, G Naymat
Procedia computer science 113, 559-564, 2017
Fast mining of complex spatial co-location patterns using GLIMIT
F Verhein, G Al-Naymat
Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007 …, 2007
Gamified flipped classroom versus traditional classroom learning: Which approach is more efficient in business education?
UK Durrani, G Al Naymat, RM Ayoubi, MM Kamal, H Hussain
The International Journal of Management Education 20 (1), 100595, 2022
Spotting the islamist radical within: Religious extremists profiling in the United State
M Al-Zewairi, G Naymat
Procedia Computer Science 113, 162-169, 2017
Enumeration of maximal clique for mining spatial co-location patterns
G Al-Naymat
2008 IEEE/ACS International Conference on Computer Systems and Applications …, 2008
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